Triple

T13144753
Position Surface form Disambiguated ID Type / Status
Subject Islands Region of Papua New Guinea E312307 entity
Predicate hasMajorTown P316 FINISHED
Object Kimbe E312313 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: Kimbe | Statement: [Islands Region of Papua New Guinea, hasMajorTown, Kimbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimbe
Context triple: [Islands Region of Papua New Guinea, hasMajorTown, Kimbe]
  • A. Kimbe chosen
    Kimbe is the main commercial and administrative town on the island of New Britain in Papua New Guinea, known as a hub for nearby plantations and world-class diving.
  • B. Kiembu
    Kiembu is a Bantu language spoken primarily by the Embu people of central Kenya.
  • C. Kiamba
    Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
  • D. Kiyombe
    Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
  • E. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • 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_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.