Triple
T6637091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEBL |
E150484
|
entity |
| Predicate | operatedBy |
P86
|
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: [LEBL, operatedBy, Aena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aena Context triple: [LEBL, operatedBy, 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.
Santander Airport
Santander Airport is a regional international airport serving the city of Santander and the Cantabria region in northern Spain.
-
E.
Badajoz Airport
Badajoz Airport is a regional Spanish airport serving the autonomous community of Extremadura with domestic commercial flights and military operations.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcf439c8190b9334b34774da821 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7006ef73081909fd9081a9184ecd0 |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.