Triple
T18981615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity University |
E464440
|
entity |
| Predicate | formerLocation |
P1659
|
FINISHED |
| Object | Tehuacana, Texas |
—
|
NE NERFINISHED |
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: Tehuacana, Texas | Statement: [Trinity University, formerLocation, Tehuacana, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tehuacana, Texas Context triple: [Trinity University, formerLocation, Tehuacana, Texas]
-
A.
Tehuacana, Texas
chosen
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
-
B.
Canutillo, Texas
Canutillo, Texas is a small unincorporated community in El Paso County near the U.S.–Mexico border, forming part of the El Paso metropolitan area.
-
C.
Mexia, Texas
Mexia, Texas is a small city in Limestone County known historically for its oil boom and as a regional commercial center in central Texas.
-
D.
Teague, Texas
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
-
E.
Cactus, Texas
Cactus, Texas is a small unincorporated community in the Texas Panhandle known for its agricultural surroundings and diverse, largely immigrant workforce tied to local meatpacking and related industries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.