Triple

T6281291
Position Surface form Disambiguated ID Type / Status
Subject Aena E140786 entity
Predicate operates P24 FINISHED
Object Jerez Airport E173367 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: Jerez Airport | Statement: [Aena, operates, Jerez Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerez Airport
Context triple: [Aena, operates, Jerez Airport]
  • A. Jerez Airport chosen
    Jerez Airport is a regional international airport in southern Spain serving the city of Jerez de la Frontera and the wider Cádiz province, handling both commercial flights and seasonal tourist traffic.
  • B. Seville Airport
    Seville Airport is a major international and military aviation hub in southern Spain that serves the city of Seville and hosts significant aircraft manufacturing and testing activities.
  • C. Málaga Airport
    Málaga Airport is a major international airport in southern Spain serving the Costa del Sol and the city of Málaga as one of the country’s busiest tourist gateways.
  • D. Murcia–San Javier Airport
    Murcia–San Javier Airport is a Spanish airport in the Region of Murcia that serves both civilian flights and military aviation activities.
  • E. Valencia Airport
    Valencia Airport is an international airport serving the city of Valencia and the surrounding region on Spain’s eastern Mediterranean coast.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dee62881908347283f16dcbe68 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e406787881908648872228d6eac9 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:26 p.m.