Triple
T7025851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas, Texas |
E162943
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Murphy, Texas |
E130058
|
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: Murphy, Texas | Statement: [Lucas, Texas, adjacentTo, Murphy, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy, Texas Context triple: [Lucas, Texas, adjacentTo, Murphy, Texas]
-
A.
Murphy, Texas
chosen
Murphy, Texas is a suburban city in Collin County within the Dallas–Fort Worth metropolitan area, known for its residential communities and family-oriented environment.
-
B.
Murchison, Texas
Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
-
C.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
D.
Moody, Texas
Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
-
E.
Mount Pleasant, Texas
Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex area.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91152b4548190a0749cbd3e26cf9e |
completed | March 29, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:35 p.m.