Triple

T8133702
Position Surface form Disambiguated ID Type / Status
Subject Konohana-ku E189914 entity
Predicate borderedBy P224 FINISHED
Object Taisho-ku E446502 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: Taisho-ku | Statement: [Konohana-ku, borderedBy, Taisho-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taisho-ku
Context triple: [Konohana-ku, borderedBy, Taisho-ku]
  • A. Taisho-ku chosen
    Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
  • B. Wakamatsu-ku
    Wakamatsu-ku is one of the seven wards of Kitakyushu in Fukuoka Prefecture, Japan, known for its coastal location and industrial heritage.
  • C. Wakabayashi-ku
    Wakabayashi-ku is one of the administrative wards of Sendai, Japan, encompassing residential, commercial, and coastal areas in the eastern part of the city.
  • D. Higashi-ku
    Higashi-ku is a ward in the city of Fukuoka, Japan, known for its coastal location, residential areas, and educational institutions.
  • E. Miyagino-ku
    Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43ba98c881909c4b4c9cd25ad063 completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc917acf881908aa76d38d7b62e0d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 5:35 p.m.