Triple

T19523369
Position Surface form Disambiguated ID Type / Status
Subject Pasažieru vilciens E488458 entity
Predicate abbreviation P43 FINISHED
Object PV
PV is the commonly used abbreviation for Pasažieru vilciens, the principal passenger rail transport company in Latvia.
 E1380346 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: PV | Statement: [Pasažieru vilciens, abbreviation, PV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PV
Context triple: [Pasažieru vilciens, abbreviation, PV]
  • A. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • B. PV
    PV is the station code used to identify Piața Victoriei metro station in the Bucharest Metro system.
  • C. PV
    PV is the vehicle registration code used on license plates for the Italian province of Pavia.
  • D. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • E. PJ
    PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
  • 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: PV
Triple: [Pasažieru vilciens, abbreviation, PV]
Generated description
PV is the commonly used abbreviation for Pasažieru vilciens, the principal passenger rail transport company in Latvia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PV
Target entity description: PV is the commonly used abbreviation for Pasažieru vilciens, the principal passenger rail transport company in Latvia.
  • A. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • B. PV
    PV is the vehicle registration code used on license plates for the Italian province of Pavia.
  • C. PV
    PV is the station code used to identify Piața Victoriei metro station in the Bucharest Metro system.
  • D. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • E. PJ
    PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636392444819094f6a2aa1cdf3d42 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472cadd88190a7306b8891141157 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07484fcb28819082922c817170d118 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:41 p.m.