Triple

T20332011
Position Surface form Disambiguated ID Type / Status
Subject Tahuata E492506 entity
Predicate containsSettlement P847 FINISHED
Object Vaitahu NE NERFINISHED

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: Vaitahu | Statement: [Tahuata, containsSettlement, Vaitahu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaitahu
Context triple: [Tahuata, containsSettlement, Vaitahu]
  • A. Vaitahu chosen
    Vaitahu is the principal village and administrative center of the island of Tahuata in the Marquesas Islands of French Polynesia.
  • B. Rarotongan
    Rarotongan is a Polynesian language spoken primarily in the Cook Islands, where it serves as one of the main indigenous languages.
  • C. Tanna
    Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
  • D. Tubuai
    Tubuai is the main island and administrative center of the Austral Islands in French Polynesia, known for its volcanic landscape, lagoon, and role as a regional hub in the South Pacific.
  • E. Manihiki
    Manihiki is a remote coral atoll in the northern Cook Islands, known for its black pearl farming and traditional Polynesian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e886a08190952b828fedd2a411 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.