Triple

T12659149
Position Surface form Disambiguated ID Type / Status
Subject Daitabashi E302369 entity
Predicate nearbyWard P61270 FINISHED
Object Setagaya E241517 NE FINISHED

How this triple was built (3 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: Setagaya | Statement: [Daitabashi, nearbyWard, Setagaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setagaya
Context triple: [Daitabashi, nearbyWard, Setagaya]
  • A. Setagaya chosen
    Setagaya is a large residential ward in western Tokyo, Japan, known for its suburban neighborhoods, parks, and role as a commuter area for central Tokyo.
  • B. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • C. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • D. Shinagawa
    Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
  • E. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyWard
Context triple: [Daitabashi, nearbyWard, Setagaya]
  • A. nearbyLocation chosen
    Indicates that one location is situated close to another location in physical space.
  • B. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • C. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • D. nearbyCurrent
    Indicates that one entity is located close to another entity at the present moment or in the current context.
  • E. hasNearbySuburb
    Indicates that one location has another location as a suburb situated in close geographic proximity.
  • F. None of above.

Provenance (4 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:19 p.m.