Triple

T3333120
Position Surface form Disambiguated ID Type / Status
Subject Port of Suva E70078 entity
Predicate locatedIn P40 FINISHED
Object Suva E21997 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: Suva | Statement: [Port of Suva, locatedIn, Suva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suva
Context triple: [Port of Suva, locatedIn, Suva]
  • A. Nukuʻalofa
    Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
  • B. Suva, Fiji chosen
    Suva, Fiji is the capital and largest city of Fiji, serving as a major political, economic, and regional administrative hub in the South Pacific.
  • C. Apia
    Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
  • D. Honiara
    Honiara is the capital and largest city of the Solomon Islands, located on the island of Guadalcanal in the southwestern Pacific Ocean.
  • E. Tongatapu
    Tongatapu is the main island and political center of the Kingdom of Tonga, housing its capital Nukuʻalofa and the majority of the country's population.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb819688190bb6198ac43f48449 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:12 p.m.