Triple
T6655978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLendon-Chisholm, Texas |
E150942
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Heath, Texas |
E267162
|
NE 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: Heath, Texas | Statement: [McLendon-Chisholm, Texas, adjacentTo, Heath, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heath, Texas Context triple: [McLendon-Chisholm, Texas, adjacentTo, Heath, Texas]
-
A.
Heath, Texas
chosen
Heath, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential communities and proximity to Lake Ray Hubbard.
-
B.
Hearne, Texas
Hearne, Texas is a small city in Robertson County that serves as a regional rail and transportation hub within the Brazos Valley of Central Texas.
-
C.
Hewitt, Texas
Hewitt, Texas is a suburban city in McLennan County, part of the Waco metropolitan area in central Texas.
-
D.
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.
-
E.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06dbbf88190b39564a688c25a24 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a1f8da648190987fad6e37620cef |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 2:01 p.m.