Triple

T10755354
Position Surface form Disambiguated ID Type / Status
Subject Territorial Assembly of Wallis and Futuna E253675 entity
Predicate meetsIn P40 FINISHED
Object Mata-Utu E253671 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: Mata-Utu | Statement: [Territorial Assembly of Wallis and Futuna, meetsIn, Mata-Utu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mata-Utu
Context triple: [Territorial Assembly of Wallis and Futuna, meetsIn, Mata-Utu]
  • A. Mata-Utu chosen
    Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
  • B. Tairua
    Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
  • C. Tiaro
    Tiaro is a small rural town in Queensland, Australia, situated within the Fraser Coast Region and known for its agricultural surroundings and historic charm.
  • D. Tapuaetai
    Tapuaetai is a small, picturesque islet in the Aitutaki Lagoon of the Cook Islands, famed for its white-sand beaches and turquoise waters.
  • E. Pitumpanua
    Pitumpanua is a town and district-level settlement in Wajo Regency, South Sulawesi, Indonesia.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9e224c819099d16aba77322812 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:15 p.m.