Triple
T22016473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith County, Texas |
E543724
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Whitehouse, 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: Whitehouse, Texas | Statement: [Smith County, Texas, hasCity, Whitehouse, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehouse, Texas Context triple: [Smith County, Texas, hasCity, Whitehouse, Texas]
-
A.
Whitehouse, Texas
chosen
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
-
B.
Hamlin, Texas
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
-
C.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
D.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
E.
Hutchins, Texas
Hutchins, Texas is a small industrial and transportation-oriented city in southern Dallas County within the Dallas–Fort Worth metropolitan 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a8a1388190b9e0c1795fe1183a |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.