Triple

T11278759
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Midtown E267005 entity
Predicate owner P347 FINISHED
Object Mitsui Fudosan E902145 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: Mitsui Fudosan | Statement: [Tokyo Midtown, owner, Mitsui Fudosan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsui Fudosan
Context triple: [Tokyo Midtown, owner, Mitsui Fudosan]
  • A. Mitsui Fudosan chosen
    Mitsui Fudosan is a major Japanese real estate developer and property management company known for large-scale urban redevelopment projects and landmark commercial properties.
  • B. Mitsubishi UFJ Real Estate Services
    Mitsubishi UFJ Real Estate Services is a real estate company within the Mitsubishi UFJ financial group, providing property brokerage, management, and related real estate services in Japan.
  • C. Sekisui House
    Sekisui House is a major Japanese homebuilder and real estate developer known for large-scale residential and commercial projects in Japan and abroad.
  • D. Seibu Group
    Seibu Group is a major Japanese conglomerate with core businesses in railways, hotels, real estate, and leisure services.
  • E. Mori Building Company
    Mori Building Company is a major Japanese real estate developer known for creating large-scale urban landmarks and high-rise complexes in Asia and beyond.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0edcd081908547745d16d643ab completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.