Triple

T14839597
Position Surface form Disambiguated ID Type / Status
Subject Abemama Atoll E348923 entity
Predicate hasSettlement P1068 FINISHED
Object Tabontebike E393857 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: Tabontebike | Statement: [Abemama Atoll, hasSettlement, Tabontebike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabontebike
Context triple: [Abemama Atoll, hasSettlement, Tabontebike]
  • A. Tabontebike chosen
    Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • B. Batcycle
    The Batcycle is a high-tech, heavily customized motorcycle used by members of the Batman family for rapid, agile crime-fighting and pursuit across Gotham City.
  • C. Bike Boy
    Bike Boy is a 1967 underground film directed by Andy Warhol, known for its experimental style and association with the New York avant-garde art scene.
  • D. Mike the Bike
    Mike the Bike was the legendary British motorcycle racer Mike Hailwood, renowned for his extraordinary versatility and success across multiple classes and championships.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.