Triple
T1351961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanuatu languages |
E28901
|
entity |
| Predicate | areSpokenOn |
P7445
|
FINISHED |
| Object | Malakula |
E153027
|
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: Malakula | Statement: [Vanuatu languages, areSpokenOn, Malakula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malakula Context triple: [Vanuatu languages, areSpokenOn, Malakula]
-
A.
Malakula
chosen
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
-
B.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
C.
Negaraku
Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
-
D.
Malaita
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.
-
E.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c48e6534819090d23f3cc25093ae |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47917d88190a13d7705f09c0b58 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:56 p.m.