Triple
T6098807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bungku language |
E135942
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Bungku |
E569502
|
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: Bungku | Statement: [Bungku language, glottologName, Bungku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bungku Context triple: [Bungku language, glottologName, Bungku]
-
A.
Bungku’
chosen
Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
-
B.
Tumpat
Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
-
C.
Tagakaulo
Tagakaulo are an indigenous ethnic group in the southern Philippines, traditionally inhabiting parts of Mindanao and known for their distinct language and cultural practices.
-
D.
Pakpak Keppas
Pakpak Keppas is a regional dialect of the Pakpak Dairi language spoken by the Pakpak ethnic community in parts of North Sumatra, Indonesia.
-
E.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1358d0e18819084e2acb9e75271b4 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:13 p.m.