Triple

T10352261
Position Surface form Disambiguated ID Type / Status
Subject Honshu coast E243907 entity
Predicate hasMajorPortCity P2994 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: [Honshu coast, hasMajorPortCity, Chiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiba
Context triple: [Honshu coast, hasMajorPortCity, 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. Urayasu
    Urayasu is a city in Chiba Prefecture, Japan, best known as the home of Tokyo Disney Resort and its associated entertainment and shopping complexes.
  • E. Fujisawa
    Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: April 6, 2026, 11:57 a.m.