Triple
T10895004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielino |
E257285
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Juaneño |
E825355
|
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: Juaneño | Statement: [Gabrielino, relatedEthnicGroup, Juaneño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juaneño Context triple: [Gabrielino, relatedEthnicGroup, Juaneño]
-
A.
Juaneño
chosen
Juaneño is a dialect of the Luiseño language historically spoken by Indigenous people associated with Mission San Juan Capistrano in Southern California.
-
B.
Puebla de los Ángeles
Puebla de los Ángeles is the original colonial name of the historic Mexican city now known as Puebla, renowned for its Spanish Baroque architecture and cultural heritage.
-
C.
San Juan Nepomuceno
San Juan Nepomuceno is a town and municipality in northern Colombia known for its agricultural economy and location within the Caribbean region.
-
D.
Villacarrillo
Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
-
E.
Navarro
Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d0153408190bcba2d9b03d78804 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15519e620819090e492861de6a567 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:21 p.m.