Triple

T13670076
Position Surface form Disambiguated ID Type / Status
Subject Mount Vaea E327724 entity
Predicate locatedIn P40 FINISHED
Object Upolu E155396 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: Upolu | Statement: [Mount Vaea, locatedIn, Upolu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upolu
Context triple: [Mount Vaea, locatedIn, Upolu]
  • A. Upolu chosen
    Upolu is a major volcanic island in the South Pacific Ocean that hosts Samoa’s capital city, Apia, and much of the country’s population and infrastructure.
  • B. Polae
    Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
  • C. Pa'a
    Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
  • D. Pangaimotu
    Pangaimotu is a small island in the Vavaʻu island group of Tonga, known for its tranquil beaches and traditional Tongan village life.
  • E. Luaniua
    Luaniua is a Polynesian outlier island and village in the Ontong Java Atoll of the Solomon Islands.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943bfaf0819097410e901847d77c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.