Triple

T3346292
Position Surface form Disambiguated ID Type / Status
Subject Valencia Airport E70381 entity
Predicate governingBody P46 FINISHED
Object Aena E140786 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: Aena | Statement: [Valencia Airport, governingBody, Aena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aena
Context triple: [Valencia Airport, governingBody, Aena]
  • A. Aena chosen
    Aena is the Spanish state-owned company that manages and operates the majority of airports in Spain and is one of the world’s largest airport operators by passenger traffic.
  • B. El Al
    El Al is Israel's flag carrier airline, known for its extensive international routes and stringent security measures.
  • C. Iberia Líneas Aéreas de España
    Iberia Líneas Aéreas de España is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, primarily through its main hub in Madrid.
  • D. Badajoz Airport
    Badajoz Airport is a regional Spanish airport serving the autonomous community of Extremadura with domestic commercial flights and military operations.
  • E. Alicante–Elche Airport
    Alicante–Elche Airport is a major international airport in Spain’s Valencian Community serving the Costa Blanca region and the cities of Alicante and Elche.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f4ff888190bf14b9b7fbe9bcee completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33429da9c8190bb1b62b0130e3d03 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.