Triple

T21224228
Position Surface form Disambiguated ID Type / Status
Subject 3GPP TS 23.272 E523049 entity
Predicate specifiesInteractionWith P143267 FINISHED
Object GERAN 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: GERAN | Statement: [3GPP TS 23.272, specifiesInteractionWith, GERAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GERAN
Context triple: [3GPP TS 23.272, specifiesInteractionWith, GERAN]
  • A. GERAN chosen
    GERAN (GSM EDGE Radio Access Network) is a 2G/2.5G mobile telecommunications radio access network standard that enhances GSM with EDGE technology to provide improved data services.
  • B. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • C. Gerst
    Gerst is a German surname most notably borne by astronaut Alexander Gerst, a European Space Agency geophysicist and former commander of the International Space Station.
  • D. GER
    GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
  • E. GER
    GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734a9c9f88190817b574f916886e5 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:44 p.m.