Triple
T5359574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hays County |
E102985
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Uhland, Texas
Uhland, Texas is a small rural city in Central Texas located between Austin and San Marcos.
|
E604959
|
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: Uhland, Texas | Statement: [Hays County, containsSettlement, Uhland, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uhland, Texas Context triple: [Hays County, containsSettlement, Uhland, Texas]
-
A.
Tolar, Texas
Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
-
B.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
C.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
D.
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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: Uhland, Texas Triple: [Hays County, containsSettlement, Uhland, Texas]
Generated description
Uhland, Texas is a small rural city in Central Texas located between Austin and San Marcos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uhland, Texas Target entity description: Uhland, Texas is a small rural city in Central Texas located between Austin and San Marcos.
-
A.
Tolar, Texas
Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
-
B.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
C.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
D.
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan area.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d4f458288190ac1d6a8489bbc943 |
completed | March 27, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69c6d6d9af148190ad9cd2cc31a70bb7 |
completed | March 27, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d98506b88190aae3b4d887744648 |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 20, 2026, 2:02 p.m.