Triple

T13512753
Position Surface form Disambiguated ID Type / Status
Subject Valtion Metallitehtaat E322678 entity
Predicate abbreviation P43 FINISHED
Object VMT
VMT is the abbreviation for Valtion Metallitehtaat, a former Finnish state-owned metal industry company involved in manufacturing and defense production.
 E1044949 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: VMT | Statement: [Valtion Metallitehtaat, abbreviation, VMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VMT
Context triple: [Valtion Metallitehtaat, abbreviation, VMT]
  • A. VTSA
    VTSA is the station code assigned to the Vermont/Santa Monica station on the Los Angeles Metro system.
  • B. VETZ
    VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
  • C. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • D. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • E. VEJT
    VEJT is the ICAO airport code assigned to Jorhat Airport in Assam, India.
  • 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: VMT
Triple: [Valtion Metallitehtaat, abbreviation, VMT]
Generated description
VMT is the abbreviation for Valtion Metallitehtaat, a former Finnish state-owned metal industry company involved in manufacturing and defense production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VMT
Target entity description: VMT is the abbreviation for Valtion Metallitehtaat, a former Finnish state-owned metal industry company involved in manufacturing and defense production.
  • A. VTSA
    VTSA is the station code assigned to the Vermont/Santa Monica station on the Los Angeles Metro system.
  • B. VETZ
    VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
  • C. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • D. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • E. VEJT
    VEJT is the ICAO airport code assigned to Jorhat Airport in Assam, India.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7555173d08190be887e81c148192e completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f756773b9c81908250ae7ffc2d8d99 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:44 p.m.