Triple

T5771455
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TS 29-series E127338 entity
Predicate definesInterfaceFor P12981 FINISHED
Object AMF E523088 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: AMF | Statement: [3GPP TS 29-series, definesInterfaceFor, AMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMF
Context triple: [3GPP TS 29-series, definesInterfaceFor, AMF]
  • A. AMF chosen
    AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
  • B. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • C. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • D. AMM
    AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
  • E. AMM
    AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
  • 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.