Triple

T9916864
Position Surface form Disambiguated ID Type / Status
Subject Tobu Railway E185891 entity
Predicate headquartersLocation P62 FINISHED
Object Sumida, Tokyo E181386 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, Tokyo | Statement: [Tobu Railway, headquartersLocation, Sumida, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumida, Tokyo
Context triple: [Tobu Railway, headquartersLocation, Sumida, Tokyo]
  • A. Sumida, Tokyo, Japan chosen
    Sumida is a special ward in eastern Tokyo, Japan, known for its traditional shitamachi neighborhoods and as the home of major landmarks like the Tokyo Skytree.
  • B. Sumida
    Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
  • C. Sumida River area
    The Sumida River area is a scenic urban district in Tokyo known for its riverside promenades, bridges, and views of landmarks like Tokyo Skytree.
  • D. Yanaka
    Yanaka is a traditional, temple-filled neighborhood in Tokyo known for its preserved old-town atmosphere, narrow lanes, and historic cemetery.
  • E. Kitashinagawa
    Kitashinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its traditional shopping streets, historic temples, and proximity to Shinagawa Station.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb540195881908f25f7dde5c66a75 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354c521dc819084b09c9a57c1a26c completed April 6, 2026, 6:37 a.m.
Created at: March 30, 2026, 8:42 p.m.