Triple
T16081210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanbu Airport |
E390113
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Yanbu Industrial City |
E91777
|
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: Yanbu Industrial City | Statement: [Yanbu Airport, serves, Yanbu Industrial City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanbu Industrial City Context triple: [Yanbu Airport, serves, Yanbu Industrial City]
-
A.
Yanbu
chosen
Yanbu is a coastal city in western Saudi Arabia on the Red Sea, known as an industrial and port hub in the Medina Province.
-
B.
Jubail
Jubail is a major industrial and port city on Saudi Arabia’s eastern coast, known for its large petrochemical complexes and strategic maritime facilities.
-
C.
Al-Shuwaikh
Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
-
D.
Rabigh
Rabigh is a coastal city on the Red Sea in western Saudi Arabia known for its industrial complexes, port facilities, and proximity to major pilgrimage and trade routes.
-
E.
Ras Al Khair Industrial City
Ras Al Khair Industrial City is a major Saudi industrial hub on the Arabian Gulf, known for its large-scale mining, minerals processing, and maritime industries.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844a5c68819086a13c93a787b436 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c44fe7c81908eb32c0b0967365f |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 4:57 a.m.