Triple
T7973637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaimbulawa language |
E185387
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object | Muna–Buton |
E658284
|
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: Muna–Buton | Statement: [Kaimbulawa language, subgroup, Muna–Buton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muna–Buton Context triple: [Kaimbulawa language, subgroup, Muna–Buton]
-
A.
Muna–Buton
chosen
Muna–Buton is a subgroup of closely related Austronesian languages spoken primarily in southeastern Sulawesi, Indonesia.
-
B.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
-
C.
Mamburao
Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
-
D.
Munduk
Munduk is a scenic highland village in northern Bali, Indonesia, known for its cool climate, lush coffee and clove plantations, and numerous waterfalls.
-
E.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0bb089881909d3ec17a3330ce25 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.