Triple

T10686860
Position Surface form Disambiguated ID Type / Status
Subject Meguro Station E251899 entity
Predicate connectsTo P845 FINISHED
Object Meguro ward E251913 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: Meguro ward | Statement: [Meguro Station, connectsTo, Meguro ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meguro ward
Context triple: [Meguro Station, connectsTo, Meguro ward]
  • A. Meguro Ward chosen
    Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
  • B. Suginami Ward
    Suginami Ward is one of Tokyo’s 23 special wards, known as a largely residential area with numerous parks, local shopping streets, and a strong community atmosphere.
  • C. Nakano Ward
    Nakano Ward is a special ward in western Tokyo, Japan, known for its dense residential neighborhoods, shopping streets, and subculture hubs like Nakano Broadway.
  • D. Toshima ward
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • E. Kōtō ward
    Kōtō ward is a special ward in eastern Tokyo known for its mix of traditional shitamachi neighborhoods, waterfront areas, and modern residential and commercial districts.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd192220819088eff88148376266 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6684574908190bd7e3d1a7dd6d876 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:10 p.m.