Triple

T13392356
Position Surface form Disambiguated ID Type / Status
Subject Duke of York Islands E319605 entity
Predicate nearbyCity P350 FINISHED
Object Kokopo E312312 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: Kokopo | Statement: [Duke of York Islands, nearbyCity, Kokopo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokopo
Context triple: [Duke of York Islands, nearbyCity, Kokopo]
  • A. Kokopo chosen
    Kokopo is a coastal town in East New Britain Province of Papua New Guinea that became the provincial capital after the 1994 volcanic destruction of nearby Rabaul.
  • B. Papudo
    Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
  • C. Manabo
    Manabo is a rural municipality in the province of Abra in the Philippines, known for its agricultural landscape and mountainous terrain.
  • D. Chichigalpa
    Chichigalpa is a Nicaraguan town known for its sugarcane industry and as the home of the Flor de Caña rum distillery.
  • E. Lanusei
    Lanusei is a town in eastern Sardinia, Italy, known for its hilltop setting overlooking the Tyrrhenian Sea and its role as an administrative and cultural center of the surrounding region.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72693a440819095a3136d8f49680a completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.