Triple

T6958763
Position Surface form Disambiguated ID Type / Status
Subject NK Lokomotiva E161313 entity
Predicate nickname P55 FINISHED
Object Lokosi
Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
E631390 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: Lokosi | Statement: [NK Lokomotiva, nickname, Lokosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lokosi
Context triple: [NK Lokomotiva, nickname, Lokosi]
  • A. Loko
    Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
  • B. Loko
    Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
  • C. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • D. Lokoja
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • E. Moengo
    Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
  • 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: Lokosi
Triple: [NK Lokomotiva, nickname, Lokosi]
Generated description
Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lokosi
Target entity description: Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
  • A. Loko
    Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
  • B. Loko
    Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
  • C. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • D. Lokoja
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • E. Moengo
    Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad240ac8190808014a5b4920b41 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759d65a008190a6121949651dcd5c completed March 28, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69c75a7a0af88190abf9d1dc4efd8b29 completed March 28, 2026, 4:35 a.m.
Created at: March 27, 2026, 2:29 p.m.