Triple
T17766715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seabrook, Texas |
E443525
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kemah, 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: Kemah, Texas | Statement: [Seabrook, Texas, adjacentTo, Kemah, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemah, Texas Context triple: [Seabrook, Texas, adjacentTo, Kemah, Texas]
-
A.
Kemah, Texas
chosen
Kemah, Texas is a small coastal city on Galveston Bay known for its waterfront entertainment district, boardwalk, and marinas within the Greater Houston metropolitan area.
-
B.
McCamey, Texas
McCamey, Texas is a small West Texas city known historically as an oil boomtown and the primary population center of Upton County.
-
C.
Kyle, Texas
Kyle, Texas is a rapidly growing small city in Central Texas located between Austin and San Marcos, known for its suburban character and proximity to major highways.
-
D.
Tell, Texas
Tell, Texas is a small unincorporated rural community located in the Texas Panhandle region of the United States.
-
E.
Kaufman, Texas
Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.