Triple

T10826823
Position Surface form Disambiguated ID Type / Status
Subject Osmocom project E255516 entity
Predicate develops P73 FINISHED
Object OsmoSGSN E255522 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: OsmoSGSN | Statement: [Osmocom project, develops, OsmoSGSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OsmoSGSN
Context triple: [Osmocom project, develops, OsmoSGSN]
  • A. osmo-sgsn chosen
    osmo-sgsn is an open-source Serving GPRS Support Node implementation used in mobile networks, developed as part of the Osmocom project.
  • B. OSN
    OSN is the IATA airport code for Osan Air Base, a major United States Air Force installation in South Korea.
  • C. OSMA
    OSMA is the NASA Office of Safety and Mission Assurance, responsible for overseeing safety, reliability, and quality assurance for the agency’s missions and programs.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. OPSG
    OPSG is a U.S. federal grant program that provides funding to state, local, and tribal law enforcement agencies to enhance border security and cooperation along international land and water borders.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.