Triple

T13452734
Position Surface form Disambiguated ID Type / Status
Subject Midland Square E320650 entity
Predicate locatedIn P40 FINISHED
Object Nakamura-ku, Nagoya E1041175 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: Nakamura-ku, Nagoya | Statement: [Midland Square, locatedIn, Nakamura-ku, Nagoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakamura-ku, Nagoya
Context triple: [Midland Square, locatedIn, Nakamura-ku, Nagoya]
  • A. Nakamura-ku, Nagoya chosen
    Nakamura-ku, Nagoya is a central ward of Nagoya, Japan, known as a major commercial and transportation hub that includes Nagoya Station and its surrounding high-rise developments.
  • B. Chikusa-ku, Nagoya
    Chikusa-ku, Nagoya is a ward in the city of Nagoya, Japan, known for its academic institutions, residential neighborhoods, and cultural facilities.
  • C. Naka Ward, Nagoya
    Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
  • D. Sakae district of Nagoya
    The Sakae district of Nagoya is the city’s main downtown area, known for its shopping, entertainment, and commercial centers.
  • E. Nishi Ward, Yokohama
    Nishi Ward, Yokohama is a central urban ward of Yokohama, Japan, known for its major commercial districts, transportation hubs, and waterfront developments.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462522c88190a6a6e2e2292e2414 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.