Triple

T20279149
Position Surface form Disambiguated ID Type / Status
Subject Venezia Santa Lucia railway station E503092 entity
Predicate stationCode P1289 FINISHED
Object VSL 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: VSL | Statement: [Venezia Santa Lucia railway station, stationCode, VSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VSL
Context triple: [Venezia Santa Lucia railway station, stationCode, VSL]
  • A. VSL chosen
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • B. V-L-S-E
    V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
  • C. VSH
    VSH is the Indian Railways station code for Vashi railway station, a key suburban rail stop in Navi Mumbai, Maharashtra.
  • D. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • E. VSELJ
    VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e59f7c819086638b871ecbbd40 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:36 a.m.