Triple

T18723985
Position Surface form Disambiguated ID Type / Status
Subject DG FISMA E457849 entity
Predicate abbreviation P43 FINISHED
Object DG FISMA 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: DG FISMA | Statement: [DG FISMA, abbreviation, DG FISMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG FISMA
Context triple: [DG FISMA, abbreviation, DG FISMA]
  • A. DG FISMA chosen
    DG FISMA is the European Commission department responsible for EU policies on financial stability, financial services regulation, and the Capital Markets Union.
  • B. DFR
    DFR is the National Rail station code for Drumfrochar railway station in Inverclyde, Scotland.
  • C. FMS
    FMS refers to the U.S. Foreign Military Sales program, through which the U.S. government sells defense articles, services, and training to foreign governments and international organizations.
  • D. FMS
    FMS is the post-nominal abbreviation used by members of the Marist Brothers, a Catholic religious institute dedicated to education and youth work.
  • E. FPDS-NG
    FPDS-NG (Federal Procurement Data System–Next Generation) is the U.S. government’s central database for collecting, tracking, and reporting federal contract and procurement information.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abcfc048190a01dee959e768768 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.