Triple
T12835126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yala |
E306887
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Yala |
E306887
|
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: [Yala, hasGlottologName, Yala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yala Context triple: [Yala, hasGlottologName, Yala]
-
A.
Yala
Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
-
B.
Yala
chosen
Yala is a language spoken by the Yala people of Cross River State in southeastern Nigeria.
-
C.
Yala
Yala is another name for Patan, a historic city in Nepal renowned for its rich Newar culture, traditional arts, and intricately designed temples and palaces.
-
D.
Gela Sule
Gela Sule is a variant name for Nggela Sule, a locality associated with the Nggela (Florida) Islands in the Solomon Islands.
-
E.
Tantu
Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af4f56108190b75dbf9bb144e94a |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:34 p.m.