Triple

T11886328
Position Surface form Disambiguated ID Type / Status
Subject Colonia E282789 entity
Predicate locatedIn P40 FINISHED
Object Yap E118543 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: Yap | Statement: [Colonia, locatedIn, Yap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yap
Context triple: [Colonia, locatedIn, Yap]
  • A. Yap
    Yap is a common Chinese surname found among Chinese communities worldwide.
  • B. Yap Islands chosen
    The Yap Islands are a group of islands in the western Pacific Ocean known for their traditional culture and use of large stone money, forming one of the states of the Federated States of Micronesia.
  • C. Nhava Island
    Nhava Island is a small island in Navi Mumbai, India, situated in Mumbai Harbour and known for hosting part of the Jawaharlal Nehru Port complex.
  • D. Malaita Island
    Malaita Island is one of the major and most populous islands of the Solomon Islands in the South Pacific, known for its rich Melanesian culture and traditional societies.
  • E. Koror Island
    Koror Island is a major island of Palau that serves as its commercial center and former capital, known for its dense population and role as a hub for tourism and government services.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49cd0f8e0819081e4492e0002e48a completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:44 p.m.