Triple

T2671918
Position Surface form Disambiguated ID Type / Status
Subject General Secretariat of the Council E55765 entity
Predicate shortName P43 FINISHED
Object GSCUE
GSCUE is the abbreviated name for the General Secretariat of the Council of the European Union, the body that supports and coordinates the work of the EU Council.
 E288972 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: GSCUE | Statement: [General Secretariat of the Council, shortName, GSCUE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSCUE
Context triple: [General Secretariat of the Council, shortName, GSCUE]
  • A. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • B. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • C. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. GLSC
    GLSC is a science museum and educational facility in Cleveland, Ohio, focused on Great Lakes science, technology, and space exploration.
  • 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: GSCUE
Triple: [General Secretariat of the Council, shortName, GSCUE]
Generated description
GSCUE is the abbreviated name for the General Secretariat of the Council of the European Union, the body that supports and coordinates the work of the EU Council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSCUE
Target entity description: GSCUE is the abbreviated name for the General Secretariat of the Council of the European Union, the body that supports and coordinates the work of the EU Council.
  • A. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • B. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • C. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • D. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • E. GLSC
    GLSC is a science museum and educational facility in Cleveland, Ohio, focused on Great Lakes science, technology, and space exploration.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98f98908190b5c6fb38d3d4367a completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05f1ba48190a93a399d1067912c completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa180fadc8190b376687c8afb1748 completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa2172bc881908e17ab0eb3f9bb08 completed March 10, 2026, 4:46 a.m.
Created at: March 6, 2026, 9:54 p.m.