Triple

T23096343
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Grazalema E575899 entity
Predicate nearestCity P350 FINISHED
Object Ronda 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: Ronda | Statement: [Sierra de Grazalema, nearestCity, Ronda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronda
Context triple: [Sierra de Grazalema, nearestCity, Ronda]
  • A. Ronda chosen
    Ronda is a historic mountaintop city in Spain’s Málaga province, famed for its dramatic gorge-spanning bridges, whitewashed old town, and deep cultural ties to bullfighting and Spanish military tradition.
  • B. Ronda
    Ronda is a coastal municipality in the province of Cebu in the Philippines, known for its rural communities and agricultural landscape.
  • C. Nerja
    Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
  • D. Aracena
    Aracena is a historic town in southwestern Spain renowned for its medieval castle and the Gruta de las Maravillas cave system.
  • E. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de522e48190a37e6c2fda2de465 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.