Triple

T5223787
Position Surface form Disambiguated ID Type / Status
Subject Venezia Santa Lucia railway station E117933 entity
Predicate hasIATAcode P2569 FINISHED
Object XVQ
XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
 E503093 NE FINISHED

How this triple was built (4 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: XVQ | Statement: [Venezia Santa Lucia railway station, hasIATAcode, XVQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XVQ
Context triple: [Venezia Santa Lucia railway station, hasIATAcode, XVQ]
  • A. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • B. OXV
    OXV is the FAA location identifier for Knoxville Municipal Airport in Iowa, United States.
  • C. NQX
    NQX is a high-assurance network encryption and secure communications solution developed by SSH Communications Security for protecting critical data in transit.
  • D. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • E. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XVQ
Triple: [Venezia Santa Lucia railway station, hasIATAcode, XVQ]
Generated description
XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XVQ
Target entity description: XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • A. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • B. OXV
    OXV is the FAA location identifier for Knoxville Municipal Airport in Iowa, United States.
  • C. NQX
    NQX is a high-assurance network encryption and secure communications solution developed by SSH Communications Security for protecting critical data in transit.
  • D. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • E. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • F. None of above. chosen

Provenance (5 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abd3ed48190bfd8d2f2ca399741 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff852bc81908467a343c5ded404 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0761c208190bac06ff1f92c8224 completed March 21, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69bef14ca27c81909a5a44155c9ddaf9 completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.