Triple
T17255449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscat International Airport |
E418868
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Seeb International Airport |
—
|
NE ONNED1 |
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: Seeb International Airport | Statement: [Muscat International Airport, formerName, Seeb International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeb International Airport Context triple: [Muscat International Airport, formerName, Seeb International Airport]
-
A.
Seeb International Airport
chosen
Seeb International Airport was the former main international airport serving Muscat, Oman, before being renamed Muscat International Airport.
-
B.
Sara Airport
Sara Airport is a small regional airfield serving Pentecost Island in Vanuatu, providing local and inter-island flight connections.
-
C.
Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
-
D.
Al Aqiq Airport
Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
-
E.
Sania Ramel Airport
Sania Ramel Airport is a regional airport serving the city of Tétouan in northern Morocco, providing domestic and limited international flights.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6c362c819088965c6e05f33faf |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195461898819081b2b03f3f59043d |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.