Triple

T22671733
Position Surface form Disambiguated ID Type / Status
Subject Tarazona y el Moncayo comarca E560233 entity
Predicate containsSettlement P847 FINISHED
Object Malón NE NERFINISHED

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: Malón | Statement: [Tarazona y el Moncayo comarca, containsSettlement, Malón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malón
Context triple: [Tarazona y el Moncayo comarca, containsSettlement, Malón]
  • A. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • B. Mocheno
    Mocheno is a Germanic minority language spoken by a small community in northeastern Italy, particularly in the Trentino region.
  • C. Bordón chosen
    Bordón is a small rural village in the Maestrazgo comarca of Aragón, Spain, known for its traditional architecture and mountainous surroundings.
  • D. Los Brumosos
    Los Brumosos is the popular nickname of Costa Rican football club C.S. Cartaginés, one of the country’s oldest and most traditional teams.
  • E. Guardalavaca
    Guardalavaca is a popular beach resort area on Cuba’s northern coast, known for its white-sand beaches and clear turquoise waters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.