Triple
T4124153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morón Air Base |
E92683
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | Ala 11 |
E91507
|
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: Ala 11 | Statement: [Morón Air Base, garrison, Ala 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ala 11 Context triple: [Morón Air Base, garrison, Ala 11]
-
A.
Ala 11
chosen
Ala 11 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and contributing to Spain’s air defense and tactical operations.
-
B.
Ala 12
Ala 12 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and participating in national and international air defense missions.
-
C.
Ala 14
Ala 14 is a fighter wing of the Spanish Air Force known for operating advanced combat aircraft in air defense and tactical missions.
-
D.
Ala 31
Ala 31 is a transport wing of the Spanish Air Force, primarily responsible for strategic and tactical airlift missions.
-
E.
Ala 15
Ala 15 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and conducting air defense and tactical missions.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0208903c8190a7f451a455d3e253 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b405548190affdd8bb108995b1 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.