Triple
T7768433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwaio language |
E179008
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Malaita |
E66821
|
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: Malaita | Statement: [Kwaio language, spokenIn, Malaita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaita Context triple: [Kwaio language, spokenIn, Malaita]
-
A.
Malaita
chosen
Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
-
B.
Vangunu
Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
-
C.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
-
D.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
-
E.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70435b7f88190a5e68e6ae701c58f |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e4976c81909ff34dcdcae96999 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.