Triple

T18087294
Position Surface form Disambiguated ID Type / Status
Subject Southern Gilberts E432868 entity
Predicate hasPart P35 FINISHED
Object Temaiku 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: Temaiku | Statement: [Southern Gilberts, hasPart, Temaiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temaiku
Context triple: [Southern Gilberts, hasPart, Temaiku]
  • A. Temaiku chosen
    Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
  • B. Senzoku
    Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
  • C. Sakumono
    Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
  • D. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • E. Kamacuras
    Kamacuras is a giant mutant praying mantis kaiju from the Godzilla franchise, known for its speed, insectoid appearance, and recurring role as one of Godzilla’s many monstrous adversaries.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd16234c8190b547e893a829d6c5 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.