Triple

T3897322
Position Surface form Disambiguated ID Type / Status
Subject Polish defense industry E90401 entity
Predicate hasKeyActor P30416 FINISHED
Object Mesko
Mesko is a major Polish defense manufacturer known for producing ammunition, missiles, and other military equipment for Poland’s armed forces and export markets.
E397111 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: Mesko | Statement: [Polish defense industry, hasKeyActor, Mesko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesko
Context triple: [Polish defense industry, hasKeyActor, Mesko]
  • A. Metelkova City
    Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
  • B. Oras
    Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • C. Eberswalde
    Eberswalde is a town in northeastern Germany known for its industrial heritage and surrounding forests, located northeast of Berlin.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Lefortovo
    Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
  • 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: Mesko
Triple: [Polish defense industry, hasKeyActor, Mesko]
Generated description
Mesko is a major Polish defense manufacturer known for producing ammunition, missiles, and other military equipment for Poland’s armed forces and export markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mesko
Target entity description: Mesko is a major Polish defense manufacturer known for producing ammunition, missiles, and other military equipment for Poland’s armed forces and export markets.
  • A. Metelkova City
    Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
  • B. Oras
    Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • C. Eberswalde
    Eberswalde is a town in northeastern Germany known for its industrial heritage and surrounding forests, located northeast of Berlin.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Lefortovo
    Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd48b208190afaa62975805d087 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9e3db881909e865e52a842b1be completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d72707c8190a3522d449299ed1e completed March 14, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69b51e08c7ac8190aab4b270258cdb69 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:21 p.m.