Triple

T8887991
Position Surface form Disambiguated ID Type / Status
Subject Tennoji E211582 entity
Predicate contains P35 FINISHED
Object Abeno district E152381 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: Abeno district | Statement: [Tennoji, contains, Abeno district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abeno district
Context triple: [Tennoji, contains, Abeno district]
  • A. Abeno district chosen
    Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
  • B. Ichigaya district
    Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
  • C. Yodogawa-ku
    Yodogawa-ku is one of the 24 wards of Osaka, Japan, known as a major residential and commercial area and a key transportation hub centered around Shin-Osaka Station.
  • D. Katsushika Ward
    Katsushika Ward is a special ward in northeastern Tokyo, Japan, known for its traditional shitamachi atmosphere, residential neighborhoods, and role as a transit-connected suburb of the capital.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618e58d08190be3ebcbe3701b1db completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1bca05c608190935af17d94c567d6 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 6:53 p.m.