Triple

T15161347
Position Surface form Disambiguated ID Type / Status
Subject PARCO Ikebukuro E362223 entity
Predicate ownedBy P347 FINISHED
Object Parco Co., Ltd. E1139780 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: Parco Co., Ltd. | Statement: [PARCO Ikebukuro, ownedBy, Parco Co., Ltd.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parco Co., Ltd.
Context triple: [PARCO Ikebukuro, ownedBy, Parco Co., Ltd.]
  • A. Parco Co., Ltd. chosen
    Parco Co., Ltd. is a Japanese retail and real estate company best known for operating fashion-focused shopping complexes and department stores across Japan.
  • B. Takenaka Corporation
    Takenaka Corporation is a major Japanese architecture, engineering, and construction firm known for designing and building prominent structures domestically and internationally.
  • C. Taisei Corporation
    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.
  • D. Komatsu Limited
    Komatsu Limited is a major Japanese multinational corporation that manufactures construction, mining, and military equipment.
  • E. Obayashi Corporation
    Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.