Triple
T1481455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muna–Buton languages |
E30964
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kalao language |
E166155
|
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: Kalao language | Statement: [Muna–Buton languages, hasMember, Kalao language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalao language Context triple: [Muna–Buton languages, hasMember, Kalao language]
-
A.
Kalao language
chosen
The Kalao language is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
B.
Hanunoo language
The Hanunoo language is an Austronesian language spoken by the Hanunoo Mangyan people of Mindoro in the Philippines, notable for its indigenous syllabic script and rich oral poetic tradition.
-
C.
Balangao language
The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
-
D.
Butuanon language
The Butuanon language is an Austronesian language spoken primarily in and around Butuan City in Mindanao, Philippines.
-
E.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad468a1e088190b9f4acea4ad506b4 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 1, 2026, 8:11 p.m.