Triple

T18718150
Position Surface form Disambiguated ID Type / Status
Subject Varkaus E457695 entity
Predicate hasIceHockeyClub P28155 FINISHED
Object Warkis
Warkis is an ice hockey club based in the Finnish town of Varkaus.
E1339854 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: Warkis | Statement: [Varkaus, hasIceHockeyClub, Warkis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warkis
Context triple: [Varkaus, hasIceHockeyClub, Warkis]
  • A. Wakro
    Wakro is a small town in the Lohit district of Arunachal Pradesh in northeastern India, known for its scenic riverine landscape and proximity to the Lohit River.
  • B. Bekwarra
    Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
  • C. Wark
    Wark is a given name used by Jacob Wark Griffith, likely serving as his middle or familiar name.
  • D. Washuk
    Washuk is a small town in Pakistan’s Balochistan province that serves as the administrative center of Washuk District.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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: Warkis
Triple: [Varkaus, hasIceHockeyClub, Warkis]
Generated description
Warkis is an ice hockey club based in the Finnish town of Varkaus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Warkis
Target entity description: Warkis is an ice hockey club based in the Finnish town of Varkaus.
  • A. Wakro
    Wakro is a small town in the Lohit district of Arunachal Pradesh in northeastern India, known for its scenic riverine landscape and proximity to the Lohit River.
  • B. Bekwarra
    Bekwarra is a notable town and local government area in southeastern Nigeria, recognized for its predominantly agrarian community and cultural heritage within Cross River State.
  • C. Wark
    Wark is a given name used by Jacob Wark Griffith, likely serving as his middle or familiar name.
  • D. Washuk
    Washuk is a small town in Pakistan’s Balochistan province that serves as the administrative center of Washuk District.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab8198c8190bf2c4acaeb561970 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05325284c0819095a5d659f233ef3e completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a053312e27c8190a570558563baf8cd completed May 14, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a05339f415481909cfc5864a9a4b35a completed May 14, 2026, 2:29 a.m.
Created at: April 10, 2026, 11:50 a.m.