Triple

T13012433
Position Surface form Disambiguated ID Type / Status
Subject Nezu E322452 entity
Predicate partOf P40 FINISHED
Object Yanesen area E838658 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: Yanesen area | Statement: [Nezu, partOf, Yanesen area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanesen area
Context triple: [Nezu, partOf, Yanesen area]
  • A. Yanesen area chosen
    The Yanesen area is a traditional, low-key neighborhood in Tokyo known for its preserved shitamachi atmosphere, narrow streets, old temples, and nostalgic local shops.
  • B. Gerlach–Empire area
    The Gerlach–Empire area is a remote region in northwestern Nevada known for its small desert communities and proximity to the Black Rock Desert, including the site of the annual Burning Man festival.
  • C. Jade Bay region
    The Jade Bay region is a coastal area in northwestern Germany along the North Sea, known for its deep-water harbor facilities, mudflats, and maritime industry.
  • D. Pankshin area
    Pankshin area is a locality in Plateau State, central Nigeria, known for its diverse ethnic groups and use of the Angas language.
  • E. The Basin
    The Basin is a popular, sheltered swimming and snorkeling beach on Rottnest Island in Western Australia, known for its clear turquoise water and white sand.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10d5b9881909db688c1ab0e6a77 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:49 p.m.