Triple
T7238124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapin Brunei |
E155282
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Zapin |
E607611
|
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: Zapin | Statement: [Zapin Brunei, partOf, Zapin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zapin Context triple: [Zapin Brunei, partOf, Zapin]
-
A.
Zapin Sarawak
Zapin Sarawak is a regional Malay dance form from the Malaysian state of Sarawak, characterized by its distinctive local music, costumes, and choreography derived from the broader Zapin tradition.
-
B.
Zapin Arab
Zapin Arab is a regional style of the traditional Malay Zapin dance that reflects strong Arab cultural and musical influences.
-
C.
Zapin Melayu
chosen
Zapin Melayu is a traditional Malay dance and musical form that evolved from Arab-Islamic zapin influences into a distinct cultural performance widely practiced in the Malay world.
-
D.
Zapin Johor
Zapin Johor is a Malay traditional dance form from the Malaysian state of Johor, characterized by its graceful footwork and strong influence from Arab-Islamic culture.
-
E.
Marilao
Marilao is a rapidly urbanizing municipality in the province of Bulacan in the Philippines, known for its commercial centers and proximity to Metro Manila.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc381a4081909a8ea7ee02348328 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.