Triple

T22510753
Position Surface form Disambiguated ID Type / Status
Subject Central Unitaria de Trabajadores E556511 entity
Predicate shortName P43 FINISHED
Object CUT
CUT is the commonly used acronym for the Central Unitaria de Trabajadores, a major national trade union federation.
 E1540746 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: CUT | Statement: [Central Unitaria de Trabajadores, shortName, CUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUT
Context triple: [Central Unitaria de Trabajadores, shortName, CUT]
  • A. CUT
    CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
  • B. CUT
    CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
  • C. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • D. CUT
    CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
  • E. Cut
    "Cut" is a song by the American indie rock band Low from their debut album "I Could Live in Hope."
  • 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: CUT
Triple: [Central Unitaria de Trabajadores, shortName, CUT]
Generated description
CUT is the commonly used acronym for the Central Unitaria de Trabajadores, a major national trade union federation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUT
Target entity description: CUT is the commonly used acronym for the Central Unitaria de Trabajadores, a major national trade union federation.
  • A. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • B. CUT
    CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
  • C. CUT
    CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
  • D. CUT
    CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
  • E. Cut
    "Cut" is a song by the American indie rock band Low from their debut album "I Could Live in Hope."
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d6082e48190a2726907333b6cf1 completed April 29, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17ed05d8819090a6c5df35050231 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b18ad4f608190a6947aeb790d8be7 completed May 18, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1979fe088190a06edb086d6b2b46 completed May 18, 2026, 1:51 p.m.
Created at: April 16, 2026, 8:50 p.m.