Triple

T14845593
Position Surface form Disambiguated ID Type / Status
Subject Bonriki Village E349077 entity
Predicate nearbySettlement P350 FINISHED
Object Temaiku E1123948 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: Temaiku | Statement: [Bonriki Village, nearbySettlement, Temaiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temaiku
Context triple: [Bonriki Village, nearbySettlement, 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. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • 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_69ded291103c8190a64cfe700bfee197 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4b31a48190a3b60f02b581fbd2 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:53 a.m.