Triple

T3794421
Position Surface form Disambiguated ID Type / Status
Subject Górnik Łęczna E89733 entity
Predicate hasRivalryWith P893 FINISHED
Object Motor Lublin E265837 NE FINISHED

How this triple was built (2 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: Motor Lublin | Statement: [Górnik Łęczna, hasRivalryWith, Motor Lublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motor Lublin
Context triple: [Górnik Łęczna, hasRivalryWith, Motor Lublin]
  • A. Škoda Varsovia
    Škoda Varsovia is a type of modern metro train built by Škoda for use on the Warsaw Metro system.
  • B. Mottola
    Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
  • C. ZTM Warsaw
    ZTM Warsaw is the public transport authority responsible for organizing and managing Warsaw’s integrated network of buses, trams, metro, and suburban rail services.
  • D. Stal Mielec chosen
    Stal Mielec is a Polish football club historically known as one of the country’s leading teams in the 1970s, winning multiple national championships and producing several prominent international players.
  • E. Lubin Manufacturing Company
    Lubin Manufacturing Company was an early American film production company and studio, active in the silent era and known for its role in the development of the motion picture industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.