Triple

T17663190
Position Surface form Disambiguated ID Type / Status
Subject DURL E440302 entity
Predicate hasMember P10 FINISHED
Object Kajima Corporation NE NERFINISHED

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: Kajima Corporation | Statement: [DURL, hasMember, Kajima Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajima Corporation
Context triple: [DURL, hasMember, Kajima Corporation]
  • A. Kajima Corporation chosen
    Kajima Corporation is a major Japanese construction and civil engineering company known for its large-scale infrastructure and building projects worldwide.
  • B. Sumitomo Mitsui Construction
    Sumitomo Mitsui Construction is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure 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. Kajima Road Co., Ltd.
    Kajima Road Co., Ltd. is a Japanese construction and civil engineering company specializing in road paving, maintenance, and related infrastructure services.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:51 a.m.