Triple

T192267
Position Surface form Disambiguated ID Type / Status
Subject Compact Linear Collider test facilities E3745 entity
Predicate relatedTo P37 FINISHED
Object CLIC
CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
 E24488 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: CLIC | Statement: [Compact Linear Collider test facilities, relatedTo, CLIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLIC
Context triple: [Compact Linear Collider test facilities, relatedTo, CLIC]
  • A. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • B. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • C. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • D. KLAX
    KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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: CLIC
Triple: [Compact Linear Collider test facilities, relatedTo, CLIC]
Generated description
CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLIC
Target entity description: CLIC is a proposed high-energy electron–positron linear collider at CERN designed to explore physics beyond the Standard Model with multi-TeV collisions.
  • A. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • B. CUL
    CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
  • C. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • D. KLAX
    KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a259669ba08190a5be1d2e10e70b27 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc6bfdc819091478e5102a3d64f completed Feb. 28, 2026, 3:41 p.m.
NEDg Description generation batch_69a30d5e9d788190b69c964001c8b7ce completed Feb. 28, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69a30dc3fe5081909b90a55d8e0451d6 completed Feb. 28, 2026, 3:46 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.