Triple

T10802439
Position Surface form Disambiguated ID Type / Status
Subject Vanuatu Time E254872 entity
Predicate observedOnMainIslands P38098 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: [Vanuatu Time, observedOnMainIslands, Tanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanna
Context triple: [Vanuatu Time, observedOnMainIslands, 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. Lautém
    Lautém is a coastal municipality in the easternmost part of Timor-Leste, known for its rugged landscapes, traditional culture, and important ecological sites.
  • E. Rotuma
    Rotuma is a remote volcanic island and dependency of Fiji in the South Pacific Ocean, known for its distinct Polynesian culture and language.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336dedec819099bd302c5d213dba completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:18 p.m.