Triple
T5083287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temotu Province |
E114574
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Anuta |
E132361
|
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: Anuta | Statement: [Temotu Province, hasIsland, Anuta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anuta Context triple: [Temotu Province, hasIsland, Anuta]
-
A.
Anuta
chosen
Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
-
B.
Anala
Anala is a lesser-known name or aspect of Agni, the Vedic god of fire in Hindu mythology.
-
C.
Anarta
Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
-
D.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
-
E.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb135912c81909dd32d21b604e1b1 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.