Triple
T18623199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall County |
E455207
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Boerne |
—
|
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: Boerne | Statement: [Kendall County, hasAdministrativeCenter, Boerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boerne Context triple: [Kendall County, hasAdministrativeCenter, Boerne]
-
A.
Boerne
chosen
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
-
B.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Buhl
Buhl is a German-language surname most notably associated with Austrian mountaineer Hermann Buhl, famed for his pioneering ascents in the Himalayas.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f02dc248190a82341eeb2473593 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.