Triple

T5771458
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TS 29-series E127338 entity
Predicate definesInterfaceFor P12981 FINISHED
Object PCF E524223 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: PCF | Statement: [3GPP TS 29-series, definesInterfaceFor, PCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PCF
Context triple: [3GPP TS 29-series, definesInterfaceFor, PCF]
  • A. PCF
    PCF is the abbreviation for the French Communist Party, a left-wing political party in France rooted in Marxist and communist ideology.
  • B. PCF chosen
    PCF (Policy Control Function) is a 5G core network component responsible for centralized policy management and decision-making for network behavior and quality of service.
  • C. CPFC
    CPFC is the commonly used abbreviation for Crystal Palace Football Club, a professional football team based in South London that competes in the English football league system.
  • D. PCC
    PCC is a standardized, streamlined electric streetcar design widely used in North American and European cities during the mid-20th century for urban public transit.
  • E. PCC
    PCC is an international cooperative cataloging program that develops and promotes shared standards to improve the quality and efficiency of library cataloging worldwide.
  • 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_69c0335f23c081909b35020801e3ef12 completed March 22, 2026, 6:22 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.