Triple
T14560500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Moroccan Air Force |
E341651
|
entity |
| Predicate | trainingBase |
P11445
|
FINISHED |
| Object | Meknes Air Base |
E1109650
|
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: Meknes Air Base | Statement: [Royal Moroccan Air Force, trainingBase, Meknes Air Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meknes Air Base Context triple: [Royal Moroccan Air Force, trainingBase, Meknes Air Base]
-
A.
Meknes Air Base
chosen
Meknes Air Base is a Moroccan military airfield that serves as a key installation for the Royal Moroccan Air Force.
-
B.
Marrakesh Air Base
Marrakesh Air Base is a key Royal Moroccan Air Force installation in Morocco that serves as an important hub for military aviation operations and pilot training.
-
C.
Laayoune Air Base
Laayoune Air Base is a military airfield in Western Sahara serving as a key installation for Morocco’s Royal Air Force.
-
D.
Boufarik Air Base
Boufarik Air Base is a major military airfield in Algeria that serves as a key operational hub for the Algerian Air Force.
-
E.
Kenitra Air Base
Kenitra Air Base is a military airfield in Kenitra, Morocco, serving as a key installation of the Royal Moroccan Air Force.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3880ee4081908e783231de226448 |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:23 a.m.