Triple

T520134
Position Surface form Disambiguated ID Type / Status
Subject Matsubara E10795 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Sakai E8407 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: Sakai | Statement: [Matsubara, hasNeighbouringMunicipality, Sakai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakai
Context triple: [Matsubara, hasNeighbouringMunicipality, Sakai]
  • A. Sakai chosen
    Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • B. Kaisei Academy
    Kaisei Academy is a prestigious Japanese boys' secondary school in Tokyo known for its rigorous academics and history of producing many prominent political and intellectual leaders.
  • C. Katahira Campus
    Katahira Campus is one of Tohoku University’s main campuses in Sendai, Japan, known for hosting key research and educational facilities.
  • D. Langway
    Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
  • E. Seiryo Campus
    Seiryo Campus is one of Tohoku University's main campuses, known for housing its medical and health sciences faculties and related research facilities in Sendai, Japan.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1dc61081908d7215b68f95b2ba completed March 1, 2026, 9:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.