Triple

T13144751
Position Surface form Disambiguated ID Type / Status
Subject Islands Region of Papua New Guinea E312307 entity
Predicate hasMajorTown P316 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: [Islands Region of Papua New Guinea, hasMajorTown, Kokopo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokopo
Context triple: [Islands Region of Papua New Guinea, hasMajorTown, 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:10 p.m.