Triple
T16689286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill County |
E405550
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Blum, 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: Blum, Texas | Statement: [Hill County, hasSettlement, Blum, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blum, Texas Context triple: [Hill County, hasSettlement, Blum, Texas]
-
A.
Blum, Texas
chosen
Blum, Texas is a small rural town in central Texas known for its close-knit community and agricultural surroundings.
-
B.
Burleson, Texas
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
-
C.
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.
-
D.
Bluntzer, Texas
Bluntzer, Texas is a small unincorporated rural community located in Nueces County in South Texas.
-
E.
Douglass, Texas
Douglass, Texas is a small unincorporated rural community in East Texas known for its close-knit population and agricultural surroundings.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:19 a.m.