Triple

T5138481
Position Surface form Disambiguated ID Type / Status
Subject SaiPa E115885 entity
Predicate shortName P43 FINISHED
Object SaiPa
SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
 E495531 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: SaiPa | Statement: [SaiPa, shortName, SaiPa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SaiPa
Context triple: [SaiPa, shortName, SaiPa]
  • A. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • B. Shiyan
    Shiyan is an industrial city in northwestern Hubei, China, best known as a center of automobile manufacturing and as a gateway to the nearby Wudang Mountains.
  • C. Dumai
    Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
  • D. Thới Lai
    Thới Lai is a rural district in Vietnam’s Mekong Delta region, known for its agricultural landscape and location within the municipality of Cần Thơ.
  • E. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • 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: SaiPa
Triple: [SaiPa, shortName, SaiPa]
Generated description
SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SaiPa
Target entity description: SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • A. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • B. Shiyan
    Shiyan is an industrial city in northwestern Hubei, China, best known as a center of automobile manufacturing and as a gateway to the nearby Wudang Mountains.
  • C. Dumai
    Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
  • D. Thới Lai
    Thới Lai is a rural district in Vietnam’s Mekong Delta region, known for its agricultural landscape and location within the municipality of Cần Thơ.
  • E. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec5867eac819089ee2c5eddc32a4b completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec5eb535c819097deeb331f9f0f4d completed March 21, 2026, 4:23 p.m.
Created at: March 20, 2026, 1:43 p.m.