Triple
T10079909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killeen, Texas |
E213872
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Temple, Texas |
E341976
|
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: Temple, Texas | Statement: [Killeen, Texas, nearbyCity, Temple, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple, Texas Context triple: [Killeen, Texas, nearbyCity, Temple, Texas]
-
A.
Temple, Texas
chosen
Temple, Texas is a central Texas city known for its major medical and educational institutions, including significant healthcare and research facilities.
-
B.
Moody, Texas
Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
-
C.
Taylor, Texas
Taylor, Texas is a small city in central Texas known for its historic downtown, agricultural roots, and location within the Greater Austin metropolitan area.
-
D.
Tatum, Texas
Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
-
E.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd031ce748190bb71189afd331979 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3174109988190b703bb5b7c89c5c2 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9 p.m.