Triple

T2976807
Position Surface form Disambiguated ID Type / Status
Subject Brussels suburban rail network E80417 entity
Predicate operator P179 FINISHED
Object NMBS E312049 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: NMBS | Statement: [Brussels suburban rail network, operator, NMBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NMBS
Context triple: [Brussels suburban rail network, operator, NMBS]
  • A. NMBS chosen
    NMBS is the National Railway Company of Belgium, responsible for operating most of the country’s passenger rail services.
  • B. NMB
    NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. NBS
    NBS is the central bank of Slovakia, responsible for monetary policy, financial stability, and regulation of the country’s banking sector.
  • D. NSB
    NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
  • E. BNRM
    BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.