Triple

T20810463
Position Surface form Disambiguated ID Type / Status
Subject Picunches Department E512282 entity
Predicate hasSettlement P1068 FINISHED
Object La Buitrera
La Buitrera is a small rural settlement located in the Picunches Department of Neuquén Province in western Argentina.
 E1451738 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: La Buitrera | Statement: [Picunches Department, hasSettlement, La Buitrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Buitrera
Context triple: [Picunches Department, hasSettlement, La Buitrera]
  • A. La Codoñera
    La Codoñera is a small municipality in the Matarranya comarca of the province of Teruel, in the autonomous community of Aragon, Spain.
  • B. La Mojonera
    La Mojonera is a municipality in Spain’s Almería province, notable for its extensive greenhouse agriculture within the so‑called “Sea of Plastic” region.
  • C. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • D. Los Peñascales
    Los Peñascales is a residential area in the municipality of Torrelodones, near Madrid, known for its natural surroundings and suburban character.
  • E. La Nogalera
    La Nogalera is a popular nightlife and entertainment district in Torremolinos, Spain, known for its vibrant bars, clubs, and LGBTQ+ scene.
  • 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: La Buitrera
Triple: [Picunches Department, hasSettlement, La Buitrera]
Generated description
La Buitrera is a small rural settlement located in the Picunches Department of Neuquén Province in western Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Buitrera
Target entity description: La Buitrera is a small rural settlement located in the Picunches Department of Neuquén Province in western Argentina.
  • A. La Codoñera
    La Codoñera is a small municipality in the Matarranya comarca of the province of Teruel, in the autonomous community of Aragon, Spain.
  • B. La Mojonera
    La Mojonera is a municipality in Spain’s Almería province, notable for its extensive greenhouse agriculture within the so‑called “Sea of Plastic” region.
  • C. La Llagosta
    La Llagosta is a small suburban municipality in Catalonia, Spain, situated within the metropolitan area of Barcelona.
  • D. Los Peñascales
    Los Peñascales is a residential area in the municipality of Torrelodones, near Madrid, known for its natural surroundings and suburban character.
  • E. La Nogalera
    La Nogalera is a popular nightlife and entertainment district in Torremolinos, Spain, known for its vibrant bars, clubs, and LGBTQ+ scene.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d27a4881908b34679385d8b94b completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8cb61388190922a898ee4c44d2e completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9deb9248190af178b5c28728e00 completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa80202c8190929f8f1b47d6fae4 completed May 16, 2026, 11:15 p.m.
Created at: April 16, 2026, 12:40 p.m.