Triple

T12385111
Position Surface form Disambiguated ID Type / Status
Subject Mukōjima E295842 entity
Predicate locatedIn P40 FINISHED
Object Sumida River area E833342 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: Sumida River area | Statement: [Mukōjima, locatedIn, Sumida River area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida River area
Context triple: [Mukōjima, locatedIn, Sumida River area]
  • A. Sumida River area chosen
    The Sumida River area is a scenic urban district in Tokyo known for its riverside promenades, bridges, and views of landmarks like Tokyo Skytree.
  • B. Suidobashi area
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • C. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • D. Tanimachi area
    The Tanimachi area is a central Osaka district known for its government offices, business centers, and convenient access to major historical and commercial sites.
  • E. Yanaka neighborhood
    Yanaka neighborhood is a historic, temple-filled district in Tokyo known for its preserved old-town atmosphere, narrow lanes, and traditional shops.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.