Triple

T9450426
Position Surface form Disambiguated ID Type / Status
Subject Kochi E227873 entity
Predicate hasMarket P2714 FINISHED
Object Hirome Market E800705 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: Hirome Market | Statement: [Kochi, hasMarket, Hirome Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirome Market
Context triple: [Kochi, hasMarket, Hirome Market]
  • A. Hirome Market chosen
    Hirome Market is a lively indoor food hall and social hub in Kochi, Japan, known for its many stalls serving local specialties and its casual, communal atmosphere.
  • B. Ameya-Yokochō market
    Ameya-Yokochō market is a bustling open-air shopping street in Tokyo known for its dense concentration of food stalls, discount shops, and traditional market atmosphere.
  • C. Omicho Market
    Omicho Market is a historic and bustling fresh food market in Kanazawa, Japan, renowned for its seafood, local produce, and traditional atmosphere.
  • D. Daruma Market
    Daruma Market is a traditional Japanese fair in Takasaki famous for its sale of daruma dolls, which are used as good-luck charms and symbols of perseverance.
  • E. Hondōri Shōtengai
    Hondōri Shōtengai is a popular covered shopping arcade in central Hiroshima, Japan, known for its dense mix of retail stores, restaurants, and entertainment venues.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cdd08c08190b9a140e2634c4cf9 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:51 p.m.