Triple

T6553366
Position Surface form Disambiguated ID Type / Status
Subject Abeno district E152381 entity
Predicate adjacentTo P224 FINISHED
Object Tennoji district E407710 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: Tennoji district | Statement: [Abeno district, adjacentTo, Tennoji district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennoji district
Context triple: [Abeno district, adjacentTo, Tennoji district]
  • A. Tennoji-ku
    Tennoji-ku is a central ward of Osaka, Japan, known for its major transport hub, historic Shitenno-ji Temple, and large commercial and entertainment districts.
  • B. Tennoji area chosen
    The Tennoji area is a major commercial and transportation hub in southern Osaka, known for its large train terminals, shopping complexes, and nearby attractions like Shitennoji Temple and Abeno Harukas.
  • C. Nishi-ku
    Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
  • D. Nishi-ku
    Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
  • E. Umeda district
    Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8041d081909cd64dab7ccbd035 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:51 p.m.