Triple

T11857488
Position Surface form Disambiguated ID Type / Status
Subject Daiwa House Industry E282074 entity
Predicate hasBrand P1500 FINISHED
Object Daiwa House E282074 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: Daiwa House | Statement: [Daiwa House Industry, hasBrand, Daiwa House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daiwa House
Context triple: [Daiwa House Industry, hasBrand, Daiwa House]
  • A. Daiwa House Industry chosen
    Daiwa House Industry is a major Japanese construction and real estate development company known for large-scale commercial, residential, and mixed-use projects.
  • B. Matsuzakaya Nagoya
    Matsuzakaya Nagoya is a major flagship department store in central Nagoya, Japan, known for its long history, extensive shopping facilities, and role as a key commercial hub in the Sakae district.
  • C. Yoshimoto Kogyo
    Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
  • D. Mizumoto
    Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
  • E. Nikken Sekkei
    Nikken Sekkei is a major Japanese architectural and engineering firm renowned for designing prominent large-scale projects and urban landmarks worldwide.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.