Triple
T15026289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 181 |
E378223
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Beeville, Texas |
E852764
|
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: Beeville, Texas | Statement: [U.S. Route 181, servesCity, Beeville, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beeville, Texas Context triple: [U.S. Route 181, servesCity, Beeville, Texas]
-
A.
Beeville
chosen
Beeville is a small city in southern Texas known as the county seat of Bee County and home to Coastal Bend College.
-
B.
Beckville, Texas
Beckville, Texas is a small rural city in East Texas known for its close-knit community and location within the Carthage–Panola County area.
-
C.
Boerne, Texas
Boerne, Texas is a small Hill Country city near San Antonio known for its German heritage, historic downtown, and role in the landmark U.S. Supreme Court case City of Boerne v. Flores.
-
D.
Cleburne, Texas
Cleburne, Texas is a small city in North Texas known for its historic downtown, railroad heritage, and role as a regional hub within the Dallas–Fort Worth metropolitan area.
-
E.
Brownwood, Texas
Brownwood, Texas is a small central Texas city that serves as a regional hub for commerce, education, and healthcare in the surrounding rural 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.