Triple

T5481271
Position Surface form Disambiguated ID Type / Status
Subject Core Network and Terminals E123470 entity
Predicate hasWorkingGroup P1382 FINISHED
Object CT4
CT4 is a 3GPP working group responsible for specifying protocols and interfaces for core network and terminal interoperability in mobile telecommunications systems.
 E523109 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: CT4 | Statement: [Core Network and Terminals, hasWorkingGroup, CT4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT4
Context triple: [Core Network and Terminals, hasWorkingGroup, CT4]
  • A. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • B. T4
    T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
  • C. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • D. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • E. C4
    C4 is a military acronym referring to the integrated system of command, control, communications, and computers that supports decision-making and operations.
  • 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: CT4
Triple: [Core Network and Terminals, hasWorkingGroup, CT4]
Generated description
CT4 is a 3GPP working group responsible for specifying protocols and interfaces for core network and terminal interoperability in mobile telecommunications systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT4
Target entity description: CT4 is a 3GPP working group responsible for specifying protocols and interfaces for core network and terminal interoperability in mobile telecommunications systems.
  • A. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • B. T4
    T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
  • C. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • D. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • E. C4
    C4 is a military acronym referring to the integrated system of command, control, communications, and computers that supports decision-making and operations.
  • 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.