Triple

T13013550
Position Surface form Disambiguated ID Type / Status
Subject Los Negros Island E322483 entity
Predicate hasSettlement P1068 FINISHED
Object Momote E937026 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: Momote | Statement: [Los Negros Island, hasSettlement, Momote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Momote
Context triple: [Los Negros Island, hasSettlement, Momote]
  • A. Momote chosen
    Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
  • B. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • C. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • D. Taro
    The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
  • E. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11290e08190a41c162d47094203 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:50 p.m.