Triple
T9861464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazan Regional Airport |
E239722
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Gizan Airport
Gizan Airport is a regional airport serving the city of Jazan in southwestern Saudi Arabia, providing domestic flights and acting as a key air gateway for the surrounding region.
|
E826828
|
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: Gizan Airport | Statement: [Jazan Regional Airport, alsoKnownAs, Gizan Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gizan Airport Context triple: [Jazan Regional Airport, alsoKnownAs, Gizan Airport]
-
A.
Zhuliany Airport
Zhuliany Airport is a major international airport serving Kyiv, Ukraine, known for its proximity to the city center and focus on regional and low-cost flights.
-
B.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
C.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
D.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
E.
Uytash Airport
Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
- 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: Gizan Airport Triple: [Jazan Regional Airport, alsoKnownAs, Gizan Airport]
Generated description
Gizan Airport is a regional airport serving the city of Jazan in southwestern Saudi Arabia, providing domestic flights and acting as a key air gateway for the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gizan Airport Target entity description: Gizan Airport is a regional airport serving the city of Jazan in southwestern Saudi Arabia, providing domestic flights and acting as a key air gateway for the surrounding region.
-
A.
Zhuliany Airport
Zhuliany Airport is a major international airport serving Kyiv, Ukraine, known for its proximity to the city center and focus on regional and low-cost flights.
-
B.
Rinas Airport
Rinas Airport is the main international airport serving Tirana and the primary air gateway to Albania.
-
C.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
D.
Ulei Airport
Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
-
E.
Uytash Airport
Uytash Airport is the main civil airport serving the city of Makhachkala and the Republic of Dagestan in southern Russia.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3b6aa108190978f1c0cdc0f45a0 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e4411a9481909657f522af7500ac |
completed | April 5, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69d1e5a99e4081909f5712a264e1b495 |
completed | April 5, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e62c0638819091c7eb9b09ce20aa |
completed | April 5, 2026, 4:33 a.m. |
Created at: March 30, 2026, 8:35 p.m.