Triple
T8219681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain City |
E192025
|
entity |
| Predicate | associatedWithTopography |
P53384
|
FINISHED |
| Object | dramatic urban topography |
—
|
LITERAL FINISHED |
How this triple was built (2 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: dramatic urban topography | Statement: [Mountain City, associatedWithTopography, dramatic urban topography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTopography Context triple: [Mountain City, associatedWithTopography, dramatic urban topography]
-
A.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
-
B.
hasTopographicalRole
Indicates that an entity serves a specific functional or positional role within a topographical or spatial context.
-
C.
topographicSignificance
Indicates the degree to which a geographic feature stands out or is prominent in the surrounding terrain based on its elevation and relief.
-
D.
connectsLandform
Indicates a relationship where one landform serves as a physical link or passage between two or more other landforms.
-
E.
hasTopographicContext
chosen
Indicates that one entity is related to or characterized by a particular topographic or physical landscape context.
- F. None of above.
Provenance (3 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7772b76c8190b1952650c736eb91 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.