Triple
T6981270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelantan-Pattani Malay |
E161850
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Yala |
E151102
|
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: Yala | Statement: [Kelantan-Pattani Malay, spokenIn, Yala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yala Context triple: [Kelantan-Pattani Malay, spokenIn, Yala]
-
A.
Yala
chosen
Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
-
B.
Yala
Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
-
C.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
-
D.
Tantu
Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
-
E.
Kamarata
Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c0ecd88190a684392aa6daf267 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:31 p.m.