Triple
T9815669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halmahera |
E238395
|
entity |
| Predicate | languagesSpoken |
P741
|
FINISHED |
| Object | Galela language |
E677593
|
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: Galela language | Statement: [Halmahera, languagesSpoken, Galela language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galela language Context triple: [Halmahera, languagesSpoken, Galela language]
-
A.
Galela language
chosen
The Galela language is an Austronesian language spoken by the Galela people in northern Halmahera, Indonesia.
-
B.
Wuvulu-Aua language
The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
-
C.
Banda-Linda language
The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
-
D.
Fala language
Fala is a small Ibero-Romance language spoken in a few villages in Spain’s Extremadura region, notable for its close relation to Galician-Portuguese and its strong local identity.
-
E.
Galo language
Galo language is a Tibeto-Burman language spoken primarily by the Galo people in Arunachal Pradesh, 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f341648190bf8343e1124085cb |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc6c64dc8190979be34255dc22e5 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:30 p.m.