Triple

T498524
Position Surface form Disambiguated ID Type / Status
Subject Patria AMV E10348 entity
Predicate designer P184 FINISHED
Object Patria
Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
 E62007 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: Patria | Statement: [Patria AMV, designer, Patria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patria
Context triple: [Patria AMV, designer, Patria]
  • A. Altar a la Patria
    Altar a la Patria is a monumental memorial in Mexico City honoring the Niños Héroes, cadets who died defending Chapultepec Castle during the Mexican–American War.
  • B. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • C. Angel of Independence
    The Angel of Independence is a prominent golden victory column and monument in Mexico City that commemorates the country’s War of Independence and serves as an iconic national symbol.
  • D. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • E. Xanana
    Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
  • 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: Patria
Triple: [Patria AMV, designer, Patria]
Generated description
Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patria
Target entity description: Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
  • A. Altar a la Patria
    Altar a la Patria is a monumental memorial in Mexico City honoring the Niños Héroes, cadets who died defending Chapultepec Castle during the Mexican–American War.
  • B. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • C. Angel of Independence
    The Angel of Independence is a prominent golden victory column and monument in Mexico City that commemorates the country’s War of Independence and serves as an iconic national symbol.
  • D. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • E. Xanana
    Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1183e988190bce70932a9678134 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481efc3a881909575c5981e13a16b completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a48352d91481909fb2119752595927 completed March 1, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69a483bb51c48190a0c2d9a3198e0ae2 completed March 1, 2026, 6:21 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.