Triple
T10077544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hebrides |
E213806
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Tanna |
E217569
|
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: Tanna | Statement: [New Hebrides, hasIsland, Tanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanna Context triple: [New Hebrides, hasIsland, Tanna]
-
A.
Tanna
chosen
Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
-
B.
South Tanna
South Tanna is a dialect of the Lenakel language spoken on Tanna Island in Vanuatu.
-
C.
Trobriand Islands
The Trobriand Islands are a culturally distinctive Melanesian archipelago in Papua New Guinea, renowned for their matrilineal society, complex exchange systems, and anthropological significance.
-
D.
Rotuma
Rotuma is a remote volcanic island and dependency of Fiji in the South Pacific Ocean, known for its distinct Polynesian culture and language.
-
E.
North Tanna
North Tanna is a dialect of the Lenakel language spoken on Tanna Island in Vanuatu.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd02f47e08190bfeb641b202beecc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ad05bbc8190b103d66c9e786c86 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.