Triple
T16830985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fez–Saïss Airport |
E409146
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | ONDA |
E254178
|
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: ONDA | Statement: [Fez–Saïss Airport, operator, ONDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONDA Context triple: [Fez–Saïss Airport, operator, ONDA]
-
A.
ONDA
chosen
ONDA is Morocco’s national airports authority responsible for managing and operating the country’s civil aviation airports and related services.
-
B.
Onda
Onda is a historic town in eastern Spain’s Valencian Community, known for its medieval castle and ceramic industry.
-
C.
Ond
Ond is a statue featured at Budapest’s Millennium Monument on Heroes’ Square, commemorating a historic Magyar chieftain.
-
D.
ONZ
ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
-
E.
ONN
ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b317af8c8190a09cb6d60d28e342 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a2a5348190b14af8ab88a281b7 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.