Triple

T3050740
Position Surface form Disambiguated ID Type / Status
Subject Finnish Ice Hockey Association E83563 entity
Predicate shortName P43 FINISHED
Object SJRY
SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
E322211 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: SJRY | Statement: [Finnish Ice Hockey Association, shortName, SJRY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SJRY
Context triple: [Finnish Ice Hockey Association, shortName, SJRY]
  • A. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • B. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • C. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • D. SBRJ
    SBRJ is the ICAO airport code for Santos Dumont Airport, a major domestic airport located near downtown Rio de Janeiro, Brazil.
  • E. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • 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: SJRY
Triple: [Finnish Ice Hockey Association, shortName, SJRY]
Generated description
SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SJRY
Target entity description: SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
  • A. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • B. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • C. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • D. SBRJ
    SBRJ is the ICAO airport code for Santos Dumont Airport, a major domestic airport located near downtown Rio de Janeiro, Brazil.
  • E. RSJ
    RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb1a46081908547a2f27cbf3446 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eefa84f08190a178cc0674d8a3ab completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1ef69d49c81908caa41a80718896b completed March 11, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.