Triple

T14301585
Position Surface form Disambiguated ID Type / Status
Subject Pentecost Island E354576 entity
Predicate partOf P40 FINISHED
Object Penama Province E1067926 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: Penama Province | Statement: [Pentecost Island, partOf, Penama Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penama Province
Context triple: [Pentecost Island, partOf, Penama Province]
  • A. Penama Province chosen
    Penama Province is an administrative region of Vanuatu in the South Pacific, encompassing several islands including Ambae.
  • B. Sandaun Province
    Sandaun Province is a remote northwestern province of Papua New Guinea, bordering Indonesia and the Bismarck Sea and known for its diverse indigenous cultures and riverine landscapes.
  • C. Simbu Province
    Simbu Province is a mountainous inland province in central Papua New Guinea known for its rugged terrain, highland cultures, and traditional agricultural communities.
  • D. Iyo Province
    Iyo Province was a historical province of Japan located on the island of Shikoku, roughly corresponding to modern Ehime Prefecture.
  • E. Darlac Province
    Darlac Province was a former administrative region in Vietnam’s Central Highlands, historically known for its diverse indigenous populations and extensive coffee-growing highlands.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.