Triple

T22233187
Position Surface form Disambiguated ID Type / Status
Subject CT WG4 E549520 entity
Predicate alsoKnownAs P39 FINISHED
Object CT4 NE NERFINISHED

How this triple was built (2 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: [CT WG4, alsoKnownAs, CT4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CT4
Context triple: [CT WG4, alsoKnownAs, CT4]
  • A. CT4 chosen
    CT4 is a 3GPP working group responsible for specifying protocols and interfaces for core network and terminal interoperability in mobile telecommunications systems.
  • B. CT4
    CT4 is a UK postcode district covering rural and suburban areas south of Canterbury in Kent, England.
  • C. CT1
    CT1 is a 3GPP working group responsible for specifying core network and terminal aspects of mobile telecommunications systems.
  • D. CT1
    CT1 is a central Canterbury postcode district in the CT area of southeast England, covering much of the historic city and its immediate surroundings.
  • E. CT3
    CT3 is a 3GPP Core Network and Terminals working group responsible for developing and maintaining signaling protocols and related specifications for mobile telecommunications networks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf4e0348190b755a9ac0bc96cdd completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.