Triple

T19712121
Position Surface form Disambiguated ID Type / Status
Subject Sakae underground shopping malls E473375 entity
Predicate locatedIn P40 FINISHED
Object Sakae, Nagoya 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: Sakae, Nagoya | Statement: [Sakae underground shopping malls, locatedIn, Sakae, Nagoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakae, Nagoya
Context triple: [Sakae underground shopping malls, locatedIn, Sakae, Nagoya]
  • A. Naka Ward, Nagoya chosen
    Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
  • B. Shōwa-ku, Nagoya
    Shōwa-ku, Nagoya is one of the wards of Nagoya, Japan, known as a primarily residential and educational area with several universities and parks.
  • C. Higashi-ku, Nagoya
    Higashi-ku, Nagoya is one of the central wards of Nagoya, Japan, known for its cultural institutions, commercial districts, and urban residential areas.
  • D. 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.
  • E. Moriyama-ku, Nagoya
    Moriyama-ku, Nagoya is one of the eastern wards of Nagoya, Japan, known primarily as a residential area with a mix of suburban neighborhoods and green spaces.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64408bde08190aa3bef8516491e03 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.