Triple

T15919211
Position Surface form Disambiguated ID Type / Status
Subject Taisei Corporation E386047 entity
Predicate nativeLabel P657 FINISHED
Object 大成建設株式会社 E386047 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: 大成建設株式会社 | Statement: [Taisei Corporation, nativeLabel, 大成建設株式会社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大成建設株式会社
Context triple: [Taisei Corporation, nativeLabel, 大成建設株式会社]
  • A. Sumitomo Mitsui Construction
    Sumitomo Mitsui Construction is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
  • B. Kajima Corporation
    Kajima Corporation is a major Japanese construction and civil engineering company known for its large-scale infrastructure and building projects worldwide.
  • C. 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.
  • D. 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.
  • E. Taisei Corporation chosen
    Taisei Corporation is a major Japanese construction and civil engineering company known for leading large-scale infrastructure and landmark building projects in Japan and abroad.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15680c7b881909150f8b53bc058d4 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a79b808190850fa9d327f7ef72 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.