Triple

T15937133
Position Surface form Disambiguated ID Type / Status
Subject Kaisermühlen–Vienna International Centre station E386466 entity
Predicate hasAbbreviation P43 FINISHED
Object VIC E305742 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: VIC | Statement: [Kaisermühlen–Vienna International Centre station, hasAbbreviation, VIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VIC
Context triple: [Kaisermühlen–Vienna International Centre station, hasAbbreviation, VIC]
  • A. VIC chosen
    VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
  • B. VIC
    VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
  • C. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • D. V.I.C
    V.I.C is an American rapper best known for his 2008 hit single "Get Silly" and his contributions to the snap music scene.
  • E. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b8121881909b15bf6451d3d3a8 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.