Triple
T17656513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimes County, Texas |
E429641
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Navasota, 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: Navasota, Texas | Statement: [Grimes County, Texas, hasSettlement, Navasota, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navasota, Texas Context triple: [Grimes County, Texas, hasSettlement, Navasota, Texas]
-
A.
Navasota, Texas
chosen
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
B.
Stinnett, Texas
Stinnett, Texas is a small city in the Texas Panhandle that serves as an administrative and service hub for the surrounding rural area.
-
C.
Putnam, Texas
Putnam, Texas is a small rural town in Callahan County known primarily as the birthplace of writer and journalist Larry L. King.
-
D.
Hamlin, Texas
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
-
E.
Shallowater, Texas
Shallowater, Texas is a small city in West Texas that functions as a suburban community of Lubbock with a strong agricultural base and close-knit local character.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46ea2b3308190b9ad752728d98856 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 6:06 a.m.