Triple
T4160048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrejón Air Base |
E91509
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
LETO
LETO is the ICAO airport code assigned to Torrejón Air Base, a military airfield near Madrid, Spain.
|
E417334
|
NE FINISHED |
How this triple was built (4 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: LETO | Statement: [Torrejón Air Base, ICAOCode, LETO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LETO Context triple: [Torrejón Air Base, ICAOCode, LETO]
-
A.
Carletto
Carletto is an Italian diminutive form of the given name Carlo, typically used as an affectionate nickname.
-
B.
Montoya
Montoya is a Spanish-origin surname commonly found in the Hispanic world and popularized in literature and film.
-
C.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
D.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
E.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LETO Triple: [Torrejón Air Base, ICAOCode, LETO]
Generated description
LETO is the ICAO airport code assigned to Torrejón Air Base, a military airfield near Madrid, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LETO Target entity description: LETO is the ICAO airport code assigned to Torrejón Air Base, a military airfield near Madrid, Spain.
-
A.
Carletto
Carletto is an Italian diminutive form of the given name Carlo, typically used as an affectionate nickname.
-
B.
Montoya
Montoya is a Spanish-origin surname commonly found in the Hispanic world and popularized in literature and film.
-
C.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
D.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
E.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
- F. None of above. chosen
Provenance (5 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af029454d08190b7ff32776081fabc |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f40678481908894ff315932a610 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57ff73cf88190b103db0694c1a923 |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58094c690819080dbde068ff1b119 |
completed | March 14, 2026, 3:36 p.m. |
Created at: March 9, 2026, 3:44 p.m.