Triple

T20810458
Position Surface form Disambiguated ID Type / Status
Subject Picunches Department E512282 entity
Predicate hasSettlement P1068 FINISHED
Object Las Lajas 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: Las Lajas | Statement: [Picunches Department, hasSettlement, Las Lajas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Lajas
Context triple: [Picunches Department, hasSettlement, Las Lajas]
  • A. Las Lajas chosen
    Las Lajas is a small town in Argentina’s Neuquén Province, known as a service and transit hub for travelers crossing the Andes via the nearby Paso Pino Hachado mountain pass.
  • B. Las Lajas
    Las Lajas is a town located within Honduras’s Comayagua Department, known as one of the region’s smaller rural settlements.
  • C. Los Laureles
    "Los Laureles" is a traditional Mexican ranchera song widely known through its popular recording by Linda Ronstadt on her album "Canciones de Mi Padre."
  • D. Dosquebradas
    Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
  • E. Lomas de Sotelo
    Lomas de Sotelo is a neighborhood in Mexico City known for hosting major facilities such as the Hipódromo de las Américas racetrack and various military and governmental installations.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d27a4881908b34679385d8b94b completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.