Triple

T3897344
Position Surface form Disambiguated ID Type / Status
Subject Polish defense industry E90401 entity
Predicate hasKeyActor P30416 FINISHED
Object Dezamet
Dezamet is a Polish defense manufacturer known for producing munitions and military equipment for the country’s armed forces and export markets.
 E398118 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: Dezamet | Statement: [Polish defense industry, hasKeyActor, Dezamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dezamet
Context triple: [Polish defense industry, hasKeyActor, Dezamet]
  • A. Deinomache
    Deinomache was an Athenian noblewoman of the 5th century BCE, best known as the mother of the prominent statesman and general Alcibiades.
  • B. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • C. Dasma
    Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
  • D. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • E. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • 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: Dezamet
Triple: [Polish defense industry, hasKeyActor, Dezamet]
Generated description
Dezamet is a Polish defense manufacturer known for producing munitions and military equipment for the country’s armed forces and export markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dezamet
Target entity description: Dezamet is a Polish defense manufacturer known for producing munitions and military equipment for the country’s armed forces and export markets.
  • A. Deinomache
    Deinomache was an Athenian noblewoman of the 5th century BCE, best known as the mother of the prominent statesman and general Alcibiades.
  • B. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • C. Dasma
    Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
  • D. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • E. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • 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_69b51ca0f72c819084726f631a947f8c completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5207c0cfc8190aae16e8a88348679 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b52163bf888190b38f87d22ecd200e completed March 14, 2026, 8:50 a.m.
Created at: March 9, 2026, 3:21 p.m.