Triple
T15204452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llano County |
E363353
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Gillespie County |
E289655
|
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: Gillespie County | Statement: [Llano County, borders, Gillespie County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillespie County Context triple: [Llano County, borders, Gillespie County]
-
A.
Gillespie County
chosen
Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
-
B.
Reeves County
Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
-
C.
McLennan County
McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
-
D.
Hood County
Hood County is a county in north-central Texas known for its seat in Granbury and its recreational lakefront areas, including Lake Granbury.
-
E.
Ector County
Ector County is a county in western Texas best known for encompassing the city of Odessa and its significant role in the Permian Basin oil industry.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0328fa616c8190a682e7516e8ecbb9 |
completed | May 12, 2026, 1:19 p.m. |
Created at: April 10, 2026, 3:11 a.m.