Triple

T3145988
Position Surface form Disambiguated ID Type / Status
Subject SM-liiga E65764 entity
Predicate formerName P65 FINISHED
Object SM-sarja
SM-sarja was the top-level Finnish ice hockey league that preceded and was later replaced by the modern SM-liiga.
 E331639 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: SM-sarja | Statement: [SM-liiga, formerName, SM-sarja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SM-sarja
Context triple: [SM-liiga, formerName, SM-sarja]
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • C. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • D. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • E. SMR
    SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
  • 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: SM-sarja
Triple: [SM-liiga, formerName, SM-sarja]
Generated description
SM-sarja was the top-level Finnish ice hockey league that preceded and was later replaced by the modern SM-liiga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SM-sarja
Target entity description: SM-sarja was the top-level Finnish ice hockey league that preceded and was later replaced by the modern SM-liiga.
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • C. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • D. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • E. SMR
    SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f18e80819083be53c556d56947 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b2271961048190906b6fa25e4b560c completed March 12, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69b227becba08190b5e4b3dae277ce51 completed March 12, 2026, 2:41 a.m.
Created at: March 8, 2026, 3:05 p.m.