Triple

T19244910
Position Surface form Disambiguated ID Type / Status
Subject U-OV region E481224 entity
Predicate hasOperatorBrand P40804 FINISHED
Object U-OV 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: U-OV | Statement: [U-OV region, hasOperatorBrand, U-OV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U-OV
Context triple: [U-OV region, hasOperatorBrand, U-OV]
  • A. U-OV chosen
    U-OV is a Dutch public transport company that operates bus and tram services in and around the Utrecht region.
  • B. Ovn
    Ovn is the official station code used to identify Overveen railway station in the Netherlands.
  • C. OV
    OV is the vehicle registration code used on license plates for the Vogtlandkreis district in the German state of Saxony.
  • D. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • E. OV-104
    OV-104 is the NASA Space Shuttle orbiter Atlantis, a reusable spacecraft that flew numerous missions in low Earth orbit, including the final flight of the Shuttle program.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf47820819081e8b6af852bb1dd completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.