Triple

T4003494
Position Surface form Disambiguated ID Type / Status
Subject Leiden Centraal E89468 entity
Predicate operatedBy P86 FINISHED
Object NS E109586 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: NS | Statement: [Leiden Centraal, operatedBy, NS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NS
Context triple: [Leiden Centraal, operatedBy, NS]
  • A. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • B. NS chosen
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • C. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • D. SN
    SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
  • E. SN
    SN is the commonly used abbreviation for NASA’s Space Network, a system of satellites and ground stations that relays communications between spacecraft and Earth.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c61bad48190a5115dbd4a3457d6 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:34 p.m.