Triple
T22932810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napu language |
E569485
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Napu proper |
—
|
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: Napu proper | Statement: [Napu language, hasDialects, Napu proper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napu proper Context triple: [Napu language, hasDialects, Napu proper]
-
A.
Napu’
chosen
Napu’ is an Austronesian language spoken by the Napu people in Central Sulawesi, Indonesia.
-
B.
Banawa
Banawa is an administrative district in Central Sulawesi, Indonesia, known for serving as the governmental center of Donggala Regency.
-
C.
Napindan
Napindan is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
D.
Narog
Narog is a river in J.R.R. Tolkien’s Middle-earth, known for flowing through western Beleriand and giving its name to the realm of Nargothrond.
-
E.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
- 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.