Triple

T10053839
Position Surface form Disambiguated ID Type / Status
Subject GRU E208812 entity
Predicate alsoKnownAs P39 FINISHED
Object 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.
 E837015 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: [GRU, alsoKnownAs, GU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GU
Context triple: [GRU, alsoKnownAs, 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. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • 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: [GRU, alsoKnownAs, GU]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GU
Target entity description: 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.
  • 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. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfab39408190ac728fe156eed658 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282a3d3148190908f02a9588b700e completed April 5, 2026, 3:41 p.m.
NEDg Description generation batch_69d2839311508190a59c1d393cc38785 completed April 5, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_69d2843fff188190a21ced57523c329a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:57 p.m.