Triple

T14933186
Position Surface form Disambiguated ID Type / Status
Subject Yūsaku Kamekura E372320 entity
Predicate notableWork P4 FINISHED
Object NTT corporate identity E620261 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: NTT corporate identity | Statement: [Yūsaku Kamekura, notableWork, NTT corporate identity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTT corporate identity
Context triple: [Yūsaku Kamekura, notableWork, NTT corporate identity]
  • A. NTT
    NTT is a 3.58-meter optical telescope operated by the European Southern Observatory at La Silla Observatory in Chile, notable for pioneering active optics technology.
  • B. NTT
    NTT is the commonly used abbreviation for East Nusa Tenggara, a province in eastern Indonesia known for its rugged islands, diverse cultures, and destinations like Komodo National Park.
  • C. NTT chosen
    NTT is a major Japanese telecommunications and technology services company known for its global IT solutions and network infrastructure.
  • D. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • E. Line Corporation
    Line Corporation is a Japanese internet company best known for its LINE messaging app and related digital services, including games, payments, and entertainment content.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8ac6d08190809045a6d00a3d47 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.