Triple

T8482450
Position Surface form Disambiguated ID Type / Status
Subject Go E200551 entity
Predicate hasProfessionalSystem P82855 FINISHED
Object Japan E174 NE FINISHED

How this triple was built (3 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: Japan | Statement: [Go, hasProfessionalSystem, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan
Context triple: [Go, hasProfessionalSystem, Japan]
  • A. Japan chosen
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • B. Japo
    Japo is a small settlement located on Arno Atoll in the Marshall Islands.
  • C. Ota, Japan
    Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
  • D. Honshu
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • E. South Korea
    South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProfessionalSystem
Context triple: [Go, hasProfessionalSystem, Japan]
  • A. hasProfessionalCore
    Indicates that an entity possesses a central set of professional skills, knowledge, or competencies that define its primary professional function or expertise.
  • B. hasProfessionalSection
    Indicates that an entity includes or is associated with a designated professional section, division, or category within its structure or content.
  • C. hasProfessionalStatus
    Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
  • D. hasPASystem
    Indicates that an entity possesses or is equipped with a public address (PA) system.
  • E. hasDigitalSystem
    Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
  • F. None of above. chosen

Provenance (5 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3973369481909392e8f9c4d6d447 completed April 2, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69cbd104250c8190b4c499dcc9937494 completed March 31, 2026, 1:49 p.m.
PDg Predicate description generation batch_69cbe12dd0b88190a38ec4d15dcc870b completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 6:12 p.m.