Triple

T15939072
Position Surface form Disambiguated ID Type / Status
Subject SVQ E386511 entity
Predicate identifies P310 FINISHED
Object Seville Airport E83311 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: Seville Airport | Statement: [SVQ, identifies, Seville Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seville Airport
Context triple: [SVQ, identifies, Seville Airport]
  • A. Seville Airport chosen
    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.
  • B. 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.
  • C. Jerez Airport
    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.
  • D. Granada Airport
    Granada Airport is a regional Spanish airport in Andalusia that serves the city of Granada and nearby areas with domestic and limited international flights.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ad9988819089ad7822e0f46177 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.