Triple

T22606633
Position Surface form Disambiguated ID Type / Status
Subject Matarraña comarca E566578 entity
Predicate containsSettlement P847 FINISHED
Object La Fresneda 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: La Fresneda | Statement: [Matarraña comarca, containsSettlement, La Fresneda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Fresneda
Context triple: [Matarraña comarca, containsSettlement, La Fresneda]
  • A. La Fresneda chosen
    La Fresneda is a historic village in the Matarranya comarca of Aragon, Spain, known for its well-preserved medieval architecture and scenic rural setting.
  • B. Villacarrillo
    Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
  • C. Las Pozas
    Las Pozas is a sprawling surrealist sculpture garden in the jungle near Xilitla, Mexico, created by English artist Edward James and filled with fantastical concrete structures integrated into the natural landscape.
  • D. Las Cañitas
    Las Cañitas is a trendy, upscale neighborhood in Buenos Aires known for its vibrant nightlife, fashionable restaurants, and proximity to the city’s polo fields.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.