Triple

T21473529
Position Surface form Disambiguated ID Type / Status
Subject Mortlock Islands E529792 entity
Predicate hasIsland P970 FINISHED
Object Satawan NE NERFINISHED

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: Satawan | Statement: [Mortlock Islands, hasIsland, Satawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satawan
Context triple: [Mortlock Islands, hasIsland, Satawan]
  • A. Satawan chosen
    Satawan is a low-lying coral atoll in the Mortlock Islands of Chuuk State, Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • B. Surasa
    Surasa is a figure in Hindu mythology known as one of the wives of the sage Kashyapa and a mother of serpent or demonic beings in various traditions.
  • C. Sarayan
    Sarayan is a small city in eastern Iran known as an administrative and agricultural center within South Khorasan Province.
  • D. Sawa
    Sawa is a Japanese surname most prominently associated with Homare Sawa, a legendary Japanese women’s footballer and World Cup winner.
  • E. Sheshatshiu
    Sheshatshiu is a principal Innu First Nations community located in central Labrador, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.