Triple
T23307360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baduy people |
E590486
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object | Urang Kanekes |
—
|
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: Urang Kanekes | Statement: [Baduy people, autonym, Urang Kanekes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urang Kanekes Context triple: [Baduy people, autonym, Urang Kanekes]
-
A.
Urang Kanekes
chosen
Urang Kanekes are an indigenous Sundanese community in Banten, Indonesia, known for their Baduy identity and traditional, highly secluded way of life.
-
B.
Kanemoto
Kanemoto is a Japanese surname most notably associated with former professional baseball player and manager Tomonori Kanemoto.
-
C.
Nezu
Nezu is a traditional neighborhood in Tokyo known for its historic Nezu Shrine, old-town atmosphere, and preserved shitamachi streets.
-
D.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
E.
Kamekura
Kamekura is a Japanese surname most notably associated with Yūsaku Kamekura, a pioneering graphic designer known for his influential modernist posters and logos.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972846fc819092ca2b9590b2e177 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.