Triple

T5481269
Position Surface form Disambiguated ID Type / Status
Subject Core Network and Terminals E123470 entity
Predicate hasWorkingGroup P1382 FINISHED
Object CT1
CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
 E523107 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: CT1 | Statement: [Core Network and Terminals, hasWorkingGroup, CT1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT1
Context triple: [Core Network and Terminals, hasWorkingGroup, CT1]
  • A. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • B. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • C. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • D. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • E. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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: CT1
Triple: [Core Network and Terminals, hasWorkingGroup, CT1]
Generated description
CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT1
Target entity description: CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
  • A. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • B. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • C. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • D. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • E. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd924a2eb08190b759b23a6eab5e0a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4a95375881909ba730ad108eee8b completed March 22, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_69bf4afb47a88190a66de6b6c7d5c241 completed March 22, 2026, 1:50 a.m.
Created at: March 20, 2026, 2:09 p.m.