Triple

T14414448
Position Surface form Disambiguated ID Type / Status
Subject Kuopio E357411 entity
Predicate hasSportsTeam P330 FINISHED
Object KalPa
KalPa is a professional ice hockey club based in Kuopio, Finland, competing in the country’s top-tier Liiga.
E1097119 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: KalPa | Statement: [Kuopio, hasSportsTeam, KalPa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KalPa
Context triple: [Kuopio, hasSportsTeam, KalPa]
  • A. Kalpi
    Kalpi is a historic town in Uttar Pradesh, India, known as an important center on the banks of the Yamuna River and for its role in regional trade and history.
  • B. Bhalla
    Bhalla is an Indian surname commonly found among people of Punjabi and North Indian origin.
  • C. Kpase
    Kpase is a dialect of the Fon language spoken by Fon communities in parts of West Africa, particularly in Benin.
  • D. Praba
    Praba is an alias of Velupillai Prabhakaran, the founder and leader of the Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka.
  • E. Kalita
    Kalita is the nickname of Ivan I of Moscow, a 14th-century Grand Prince known for consolidating power and expanding the influence of the Moscow principality within medieval Rus'.
  • 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: KalPa
Triple: [Kuopio, hasSportsTeam, KalPa]
Generated description
KalPa is a professional ice hockey club based in Kuopio, Finland, competing in the country’s top-tier Liiga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KalPa
Target entity description: KalPa is a professional ice hockey club based in Kuopio, Finland, competing in the country’s top-tier Liiga.
  • A. Kalpi
    Kalpi is a historic town in Uttar Pradesh, India, known as an important center on the banks of the Yamuna River and for its role in regional trade and history.
  • B. Bhalla
    Bhalla is an Indian surname commonly found among people of Punjabi and North Indian origin.
  • C. Kpase
    Kpase is a dialect of the Fon language spoken by Fon communities in parts of West Africa, particularly in Benin.
  • D. Praba
    Praba is an alias of Velupillai Prabhakaran, the founder and leader of the Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka.
  • E. Kalita
    Kalita is the nickname of Ivan I of Moscow, a 14th-century Grand Prince known for consolidating power and expanding the influence of the Moscow principality within medieval Rus'.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552a75ec8190b966d509d315ca60 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd56844d7c8190906b6550fb1c28d5 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd5731c9188190bda2958bef87dfe2 completed May 8, 2026, 3:23 a.m.
Created at: April 10, 2026, 1:17 a.m.