Triple
T21362329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardin County, Texas |
E526814
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Kountze, 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: Kountze, Texas | Statement: [Hardin County, Texas, containsSettlement, Kountze, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kountze, Texas Context triple: [Hardin County, Texas, containsSettlement, Kountze, Texas]
-
A.
Kountze, Texas
chosen
Kountze, Texas is a small city in Hardin County that serves as a gateway community to the Big Thicket region of Southeast Texas.
-
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.
Teague, Texas
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
-
D.
Kress, Texas
Kress, Texas is a small rural city in the Texas Panhandle known for its agricultural community and location along U.S. Route 87.
-
E.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06b219c81908f7674ae459e7931 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.