Triple
T22932793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napu language |
E569485
|
entity |
| Predicate | languageSubgroup |
P1967
|
FINISHED |
| Object | Badaic |
—
|
NE NERFINISHED |
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: Badaic | Statement: [Napu language, languageSubgroup, Badaic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badaic Context triple: [Napu language, languageSubgroup, Badaic]
-
A.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
B.
Badohou
Badohou is an alternative name for King Glele, a 19th-century ruler of the Kingdom of Dahomey in present-day Benin.
-
C.
Bada’
chosen
Bada’ is an Austronesian language spoken by the Bada people in Central Sulawesi, Indonesia.
-
D.
Beldibi
Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
-
E.
Baaigem
Baaigem is a small village in East Flanders, Belgium, known as one of the rural constituent communities of the municipality of Gavere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.