Triple

T17011531
Position Surface form Disambiguated ID Type / Status
Subject Roihupelto depot E412711 entity
Predicate ownedBy P347 FINISHED
Object HKL
HKL is the public transport authority of Helsinki, responsible for operating and managing the city’s metro, tram, and other urban transit services.
 E1246151 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: HKL | Statement: [Roihupelto depot, ownedBy, HKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKL
Context triple: [Roihupelto depot, ownedBy, HKL]
  • A. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • B. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • C. BKL
    BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • D. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • E. KLHK
    KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • 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: HKL
Triple: [Roihupelto depot, ownedBy, HKL]
Generated description
HKL is the public transport authority of Helsinki, responsible for operating and managing the city’s metro, tram, and other urban transit services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKL
Target entity description: HKL is the public transport authority of Helsinki, responsible for operating and managing the city’s metro, tram, and other urban transit services.
  • A. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • B. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • C. BKL
    BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • D. HKY
    HKY is the three-letter IATA airport code for Hickory Regional Airport in Hickory, North Carolina, USA.
  • E. KLHK
    KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47cc17c819087f7bd27582bcbfa completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011c99c3948190ac3d3d9059dbb57e completed May 11, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a011d4b53d081909781235ded1c2b35 completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.