Triple

T15916340
Position Surface form Disambiguated ID Type / Status
Subject Fast Retailing E385979 entity
Predicate owns P347 FINISHED
Object GU
GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
E1182344 NE FINISHED

How this triple was built (4 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: GU | Statement: [Fast Retailing, owns, GU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GU
Context triple: [Fast Retailing, owns, GU]
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • C. GU
    GU is an alternative name or abbreviation for the Gated Recurrent Unit, a type of recurrent neural network architecture used in deep learning for sequence modeling tasks.
  • D. GU
    GU is the station code used to identify Guadalupe station within the railway network.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GU
Triple: [Fast Retailing, owns, GU]
Generated description
GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GU
Target entity description: GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
  • A. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • B. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • C. GU
    GU is an alternative name or abbreviation for the Gated Recurrent Unit, a type of recurrent neural network architecture used in deep learning for sequence modeling tasks.
  • D. GU
    GU is the station code used to identify Guadalupe station within the railway network.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15662e2c481909e3582be01f05d08 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0cfac808190b32bb25659603fb4 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb15b987c8190ae9c96f15fc55b27 completed May 9, 2026, 10:12 p.m.
Created at: April 10, 2026, 4:52 a.m.