Triple

T19296017
Position Surface form Disambiguated ID Type / Status
Subject Sompo Holdings E482563 entity
Predicate formerName P65 FINISHED
Object NKSJ Holdings 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: NKSJ Holdings | Statement: [Sompo Holdings, formerName, NKSJ Holdings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NKSJ Holdings
Context triple: [Sompo Holdings, formerName, NKSJ Holdings]
  • A. NKSJ Holdings chosen
    NKSJ Holdings was a major Japanese insurance holding company formed through the merger of Nipponkoa and Sompo Japan, later rebranded as Sompo Holdings.
  • B. Z Holdings Corporation
    Z Holdings Corporation is a Japanese internet services and technology holding company that owns and operates major online platforms including Yahoo! Japan.
  • C. NII Holdings
    NII Holdings was a telecommunications company best known for providing mobile and push-to-talk services under the Nextel brand in Latin American markets.
  • D. Keio Corporation
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • E. JKN Global Group
    JKN Global Group is a Thai media and content conglomerate best known internationally for acquiring the Miss Universe Organization and expanding its global entertainment portfolio.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8533c08190822a917ffa32812d completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.