Triple

T15347641
Position Surface form Disambiguated ID Type / Status
Subject Blanche Bay E366964 entity
Predicate nearSettlement P3883 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: [Blanche Bay, nearSettlement, Kokopo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokopo
Context triple: [Blanche Bay, nearSettlement, 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fb46b48190a030e40ee0163559 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.