Triple
T20920688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford City Council |
E515197
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Bedford, 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: Bedford, Texas | Statement: [Bedford City Council, governs, Bedford, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedford, Texas Context triple: [Bedford City Council, governs, Bedford, Texas]
-
A.
Bedford, Texas
chosen
Bedford, Texas is a suburban city in northeastern Tarrant County situated between Dallas and Fort Worth, known as part of the Mid-Cities region.
-
B.
Fairfield, Texas
Fairfield, Texas is a small city in East-Central Texas known as a regional hub for outdoor recreation, ranching, and local government services.
-
C.
Benbrook, Texas
Benbrook, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its proximity to Benbrook Lake and family-oriented residential communities.
-
D.
Buda, Texas
Buda, Texas is a small city in Central Texas, located just south of Austin and known for its rapid suburban growth and annual wiener dog races.
-
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 (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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.