Triple

T15650342
Position Surface form Disambiguated ID Type / Status
Subject Bansho Shirabesho E376294 entity
Predicate locatedIn P40 FINISHED
Object Bakurochō, Edo E595089 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: Bakurochō, Edo | Statement: [Bansho Shirabesho, locatedIn, Bakurochō, Edo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakurochō, Edo
Context triple: [Bansho Shirabesho, locatedIn, Bakurochō, Edo]
  • A. Bakurochō chosen
    Bakurochō is a commercial district in Tokyo known historically as a wholesale textile and clothing center with convenient access to major rail and transit lines.
  • B. Nagatacho
    Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
  • C. Kanamecho
    Kanamecho is a neighborhood in Tokyo known for its residential character, local shopping streets, and convenient access via the Tokyo Metro Yurakucho and Fukutoshin lines.
  • D. Hatchōbori
    Hatchōbori is a district in Tokyo’s Chūō ward known for its mix of traditional neighborhoods, business offices, and convenient access to central Tokyo.
  • E. Sōemonchō entertainment district
    The Sōemonchō entertainment district is a lively nightlife area in Osaka known for its dense concentration of bars, clubs, restaurants, and neon-lit streets.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eeed2d48190a7a8a618d90012d0 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67957ebc8190b187f557bd01d58d completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.