Triple

T4071901
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Crete E86666 entity
Predicate shortName P43 FINISHED
Object TUC
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
E410312 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: TUC | Statement: [Technical University of Crete, shortName, TUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUC
Context triple: [Technical University of Crete, shortName, TUC]
  • A. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • B. RUC
    RUC is the abbreviation for the Royal Ulster Constabulary, the former police force in Northern Ireland that operated during the Troubles.
  • C. TMUK
    TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
  • D. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • E. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • 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: TUC
Triple: [Technical University of Crete, shortName, TUC]
Generated description
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TUC
Target entity description: TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
  • A. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • B. RUC
    RUC is the abbreviation for the Royal Ulster Constabulary, the former police force in Northern Ireland that operated during the Troubles.
  • C. TMUK
    TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc20ed788190bd935082a348a05d completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b99e84819085e1616fb9a61465 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563ced83c81908d7eff6a54b3b66c completed March 14, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b564893f44819086ffe89101217f53 completed March 14, 2026, 1:37 p.m.
Created at: March 9, 2026, 3:38 p.m.