Triple
T3190961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaita |
E66821
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Auki |
E336124
|
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: Auki | Statement: [Malaita, hasSettlement, Auki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auki Context triple: [Malaita, hasSettlement, Auki]
-
A.
Auki
chosen
Auki is the provincial capital and main town of Malaita Province in the Solomon Islands, serving as its administrative and commercial center.
-
B.
Aurukun
Aurukun is a remote Indigenous community and coastal town in Far North Queensland, Australia, located on the western side of Cape York Peninsula.
-
C.
Akure
Akure is the capital city of Ondo State in southwestern Nigeria, known as an important administrative and commercial center in the region.
-
D.
Alnôba
Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
-
E.
Ota
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e7d0d081908b1c36bb909a58bf |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276fbb7c481909097f5af619e45f4 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.