Triple
T12421288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandera County |
E296777
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Bandera |
E206388
|
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: Bandera | Statement: [Bandera County, seat, Bandera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandera Context triple: [Bandera County, seat, Bandera]
-
A.
Bandera
chosen
Bandera is a small Texas town known as the "Cowboy Capital of the World," famed for its Western heritage, dude ranches, and country music culture.
-
B.
Bandeira
Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
-
C.
Bandila
Bandila is a late-night Philippine television news program produced by ABS-CBN News and Current Affairs, known for its in-depth reporting and coverage of major national events.
-
D.
Camarate
Camarate is a civil parish in the municipality of Loures, near Lisbon in Portugal, known primarily as a residential suburb with historical ties to the Lisbon metropolitan area.
-
E.
Navarrete
Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d702b1481909db5f5bed6292ce0 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349552fc81909fe73dea082e3a25 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.