Triple

T20073223
Position Surface form Disambiguated ID Type / Status
Subject El Pardo forest E499790 entity
Predicate partOf P40 FINISHED
Object Monte de El Pardo 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: Monte de El Pardo | Statement: [El Pardo forest, partOf, Monte de El Pardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte de El Pardo
Context triple: [El Pardo forest, partOf, Monte de El Pardo]
  • A. Monte de El Pardo chosen
    Monte de El Pardo is a large protected forested area and royal hunting estate on the outskirts of Madrid, Spain, known for its Mediterranean woodland and rich wildlife.
  • B. Monte Igueldo
    Monte Igueldo is a scenic coastal mountain in San Sebastián, Spain, known for its historic funicular, amusement park, and panoramic views over La Concha Bay.
  • C. Cerro Huelén
    Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
  • D. Monte Toro
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • E. Monte del Pilar
    Monte del Pilar is a large natural park and green area in Majadahonda, Spain, known for its Mediterranean woodland, walking trails, and recreational spaces.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664392c748190a6cc472f80b8c74b completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.