Triple

T16627440
Position Surface form Disambiguated ID Type / Status
Subject Kita-ku, Osaka E403985 entity
Predicate contains P35 FINISHED
Object Tenjinbashi E1190131 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: Tenjinbashi | Statement: [Kita-ku, Osaka, contains, Tenjinbashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenjinbashi
Context triple: [Kita-ku, Osaka, contains, Tenjinbashi]
  • A. Tenjinbashi chosen
    Tenjinbashi is a well-known district in Osaka, Japan, famous for its long covered shopping street, Tenjinbashisuji Shotengai, lined with shops, restaurants, and traditional businesses.
  • B. Nipponbashi
    Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
  • C. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • D. Nihonbashi
    Nihonbashi is a historic commercial district in central Tokyo known for its iconic bridge, traditional merchants, and major financial and retail centers.
  • E. Nijūbashi
    Nijūbashi is the iconic pair of bridges at the main entrance to Tokyo's Imperial Palace, famous for their elegant arches reflected in the surrounding moat.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b7b94481909dfc0dd7b009a5b4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.