Triple

T5771329
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TSG CT E127336 entity
Predicate hasWorkingGroup P1382 FINISHED
Object CT6 E523110 NE FINISHED

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: CT6 | Statement: [3GPP TSG CT, hasWorkingGroup, CT6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CT6
Context triple: [3GPP TSG CT, hasWorkingGroup, CT6]
  • A. CT6 chosen
    CT6 is a 3GPP working group responsible for standardization activities related to core network and terminal technologies.
  • B. 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.
  • C. Citroën C6
    The Citroën C6 is a large executive sedan produced by the French automaker Citroën, known for its distinctive avant-garde styling, advanced comfort features, and hydropneumatic suspension.
  • D. E65
    E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
  • E. Certa Cito
    Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029ac21ec81908d88ba72e966d7cb completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e648aa881908411a00d48998ecc completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.