Triple
T12159067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillespie County |
E289655
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kerr County |
E293861
|
NE FINISHED |
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: Kerr County | Statement: [Gillespie County, borderedBy, Kerr County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerr County Context triple: [Gillespie County, borderedBy, Kerr County]
-
A.
Kerr County
chosen
Kerr County is a rural county in central Texas known for its scenic Hill Country landscapes, outdoor recreation, and the county seat of Kerrville.
-
B.
Brewster County
Brewster County is a vast, sparsely populated county in West Texas known for encompassing much of the Big Bend region along the Rio Grande.
-
C.
Nolan County
Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
-
D.
Winkler County
Winkler County is a sparsely populated, oil-producing county in western Texas known for its desert landscape and small communities such as Kermit.
-
E.
Scurry County
Scurry County is a county in western Texas known for its oil production, agriculture, and county seat of Snyder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb725d48190bdca0a85ca7f440c |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:50 p.m.