Triple
T7544984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conroe |
E178377
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Willis, Texas |
E458131
|
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: Willis, Texas | Statement: [Conroe, hasNearbyCity, Willis, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willis, Texas Context triple: [Conroe, hasNearbyCity, Willis, Texas]
-
A.
Willis, Texas
chosen
Willis, Texas is a small city in Montgomery County that serves as a northern suburban community within the Greater Houston metropolitan area.
-
B.
Wylie, Texas
Wylie, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to major urban centers.
-
C.
Weatherford, Texas
Weatherford, Texas is a historic North Texas city in the Dallas–Fort Worth metropolitan area known for its Western heritage, peach industry, and small-town charm.
-
D.
Wilmer, Texas
Wilmer, Texas is a small city in Dallas County that forms part of the southern Dallas–Fort Worth metropolitan area.
-
E.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9721e3d488190a7e7d0f0e8d0b97f |
completed | March 29, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:48 p.m.