Triple
T16531966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USGS National Map |
E401587
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
National Elevation Dataset
The National Elevation Dataset is a comprehensive digital elevation model of the United States that provides detailed topographic information for mapping, analysis, and geospatial applications.
|
E1218287
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: National Elevation Dataset | Statement: [USGS National Map, hasComponent, National Elevation Dataset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Elevation Dataset Context triple: [USGS National Map, hasComponent, National Elevation Dataset]
-
A.
SRTM
SRTM (Shuttle Radar Topography Mission) was a Space Shuttle Endeavour mission that used radar interferometry to create one of the most detailed near-global digital elevation models of Earth’s land surface.
-
B.
USGS National Map
The USGS National Map is a collaborative, online mapping platform that provides public access to high-quality, nationwide geospatial data and services for visualization, analysis, and download.
-
C.
USGS topographic maps
USGS topographic maps are detailed, large-scale representations of the Earth's surface produced by the U.S. Geological Survey, showing natural and man-made features with contour lines to depict elevation and terrain.
-
D.
National Hydrography Dataset
The National Hydrography Dataset is a comprehensive digital geospatial database that maps the surface water features of the United States, including streams, rivers, lakes, and related hydrologic information for analysis and cartography.
-
E.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: National Elevation Dataset Triple: [USGS National Map, hasComponent, National Elevation Dataset]
Generated description
The National Elevation Dataset is a comprehensive digital elevation model of the United States that provides detailed topographic information for mapping, analysis, and geospatial applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: National Elevation Dataset Target entity description: The National Elevation Dataset is a comprehensive digital elevation model of the United States that provides detailed topographic information for mapping, analysis, and geospatial applications.
-
A.
SRTM
SRTM (Shuttle Radar Topography Mission) was a Space Shuttle Endeavour mission that used radar interferometry to create one of the most detailed near-global digital elevation models of Earth’s land surface.
-
B.
USGS National Map
The USGS National Map is a collaborative, online mapping platform that provides public access to high-quality, nationwide geospatial data and services for visualization, analysis, and download.
-
C.
USGS topographic maps
USGS topographic maps are detailed, large-scale representations of the Earth's surface produced by the U.S. Geological Survey, showing natural and man-made features with contour lines to depict elevation and terrain.
-
D.
National Hydrography Dataset
The National Hydrography Dataset is a comprehensive digital geospatial database that maps the surface water features of the United States, including streams, rivers, lakes, and related hydrologic information for analysis and cartography.
-
E.
Global 30 Project
The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed8075c81908ff47396879abd0c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00609129808190b893346e06deb944 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0061d3e42c819092d4ece63661a327 |
completed | May 10, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00625771e88190ac355bbddb9b38ed |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.