Triple
T17856491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keene, Texas |
E445949
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Keene, TX |
—
|
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: Keene, TX | Statement: [Keene, Texas, abbreviation, Keene, TX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keene, TX Context triple: [Keene, Texas, abbreviation, Keene, TX]
-
A.
Keene, Texas
chosen
Keene, Texas is a small city in North Texas known for its close-knit community and association with Southwestern Adventist University.
-
B.
Kenefick, Texas
Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
-
C.
Kennard, Texas
Kennard, Texas is a small rural town in East Texas known for its proximity to the Davy Crockett National Forest and its tight-knit community.
-
D.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
-
E.
Tenaha, Texas
Tenaha, Texas is a small rural town in East Texas known for its location along major highways and its history within Shelby County.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978bd5e081909e192f6aada5235f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.