Triple

T4275098
Position Surface form Disambiguated ID Type / Status
Subject Aleksander Barkov E97030 entity
Predicate formerTeam P1168 FINISHED
Object Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
E427864 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: Tappara | Statement: [Aleksander Barkov, formerTeam, Tappara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tappara
Context triple: [Aleksander Barkov, formerTeam, Tappara]
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • C. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • D. Ratoma
    Ratoma is a major urban district of Conakry, the capital city of Guinea.
  • E. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • 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: Tappara
Triple: [Aleksander Barkov, formerTeam, Tappara]
Generated description
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tappara
Target entity description: Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • A. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • B. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • C. Rairi
    Rairi is the historical name of Raigad Fort, a prominent hill fort in Maharashtra, India, closely associated with the Maratha ruler Chhatrapati Shivaji Maharaj.
  • D. Ratoma
    Ratoma is a major urban district of Conakry, the capital city of Guinea.
  • E. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501c35688190a7d15d904f15f968 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b0b2ec819090ccf042917ae207 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b8ac37c88190ad2c6a8358e17554 completed March 14, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69b5b92eec8c81908c114238af39450f completed March 14, 2026, 7:38 p.m.
Created at: March 12, 2026, 11:07 p.m.