Triple

T3635316
Position Surface form Disambiguated ID Type / Status
Subject Spanish Foreign Legion E77052 entity
Predicate garrison P75 FINISHED
Object Ronda E217795 NE FINISHED

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: [Spanish Foreign Legion, garrison, Ronda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronda
Context triple: [Spanish Foreign Legion, garrison, 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. Nerja
    Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
  • C. Alzira
    Alzira is a historic town and municipality in eastern Spain known for its agricultural heritage and location along the Júcar River in the Valencian Community.
  • D. Ayamonte
    Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
  • E. San Javier
    San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc325e2548190ae243ae69126e65c completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1ec2bc8190ae88a2010f84e998 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.