Triple

T2531125
Position Surface form Disambiguated ID Type / Status
Subject Tango Gameworks E56159 entity
Predicate settingUsed P32516 FINISHED
Object Tokyo E5560 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: Tokyo | Statement: [Tango Gameworks, settingUsed, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo
Context triple: [Tango Gameworks, settingUsed, Tokyo]
  • A. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • E. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • 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: settingUsed
Context triple: [Tango Gameworks, settingUsed, Tokyo]
  • A. usedAsSettingFor
    Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
  • B. setting
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • C. featuresSetting chosen
    Indicates that something includes, presents, or highlights a particular setting as a notable or primary aspect.
  • D. designationUsedFor
    Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
  • E. settingDescription
    Indicates the descriptive details or characteristics that define the context or environment in which something occurs.
  • F. None of above.

Provenance (4 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2781700819091ffc32244d9efe2 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc25d9348190a216c53d1c7f8820 completed March 11, 2026, 5:22 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.