Triple

T14333464
Position Surface form Disambiguated ID Type / Status
Subject Vulcan volcano E355409 entity
Predicate nearbySettlement 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: [Vulcan volcano, nearbySettlement, Kokopo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokopo
Context triple: [Vulcan volcano, nearbySettlement, 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1fb87c81908412c2953243c8e3 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469634688190980df59ee482b792 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.