Triple

T22771462
Position Surface form Disambiguated ID Type / Status
Subject Municipal Council of Port Vila E563567 entity
Predicate seat P75 FINISHED
Object Port Vila 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: Port Vila | Statement: [Municipal Council of Port Vila, seat, Port Vila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Vila
Context triple: [Municipal Council of Port Vila, seat, Port Vila]
  • A. Port Vila chosen
    Port Vila is the capital and largest city of Vanuatu, located on the island of Efate in the South Pacific.
  • B. Lae
    Lae is a major port city on the northeastern coast of Papua New Guinea that served as a key strategic site during World War II and is now an important commercial and industrial center.
  • C. Port Moresby
    Port Moresby is the largest city and main economic and administrative center of Papua New Guinea, located on the southeastern coast of the island of New Guinea.
  • D. Tolitoli Port
    Tolitoli Port is a regional seaport in Tolitoli, Central Sulawesi, Indonesia, serving as a key hub for local trade and passenger transport.
  • E. Port Vila Harbour
    Port Vila Harbour is the main natural harbor and maritime gateway of Port Vila, the capital city of Vanuatu, serving as a key hub for shipping, ferries, and cruise ships in the South Pacific.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5e77d081909ea58d55c240662c completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.