Triple
T9861443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jazan Regional Airport |
E239722
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Jazan |
E46952
|
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: Jazan | Statement: [Jazan Regional Airport, serves, Jazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazan Context triple: [Jazan Regional Airport, serves, Jazan]
-
A.
Jizan
Jizan is a coastal region in southwestern Saudi Arabia along the Red Sea, known for its agricultural productivity, tropical climate, and proximity to the Yemeni border.
-
B.
Al Bahah
Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
-
C.
Tabuk
Tabuk is a city in northwestern Saudi Arabia known as the capital of the Tabuk Region and a growing hub for trade and development projects.
-
D.
Jazan Region
chosen
Jazan Region is a southwestern administrative region of Saudi Arabia along the Red Sea coast, known for its agricultural productivity and proximity to the Yemeni border.
-
E.
Buraidah
Buraidah is a major city in north-central Saudi Arabia and the capital of Al-Qassim Province, known as an important agricultural and commercial center.
- 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_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_69d2576ba3f08190adafa5ef87e98026 |
completed | April 5, 2026, 12:36 p.m. |
Created at: March 30, 2026, 8:35 p.m.