Triple

T7656531
Position Surface form Disambiguated ID Type / Status
Subject Tokyo metropolitan rail network E173398 entity
Predicate serves P98 FINISHED
Object Chiba E180374 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: Chiba | Statement: [Tokyo metropolitan rail network, serves, Chiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiba
Context triple: [Tokyo metropolitan rail network, serves, Chiba]
  • A. Chiba chosen
    Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
  • B. Sagamihara
    Sagamihara is a major city in Kanagawa Prefecture, Japan, known as a residential and industrial hub within the Greater Tokyo metropolitan area.
  • C. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Fujisawa
    Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
  • E. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e686db808190a2aa975a20e69696 completed April 18, 2026, 8:16 p.m.
Created at: March 27, 2026, 3:59 p.m.