Triple
T8867159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Province |
E211046
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Al Ahsa |
E275768
|
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: Al Ahsa | Statement: [Eastern Province, containsCity, Al Ahsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Ahsa Context triple: [Eastern Province, containsCity, Al Ahsa]
-
A.
Al-Ahsa
chosen
Al-Ahsa is a historic oasis region in eastern Saudi Arabia known for its extensive date palm groves and status as one of the world's largest natural oases.
-
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.
Al-Kharj
Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
-
D.
Nasiriyah
Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
-
E.
Dhahran
Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0171e98a081909875c96defaf9bfa |
completed | April 3, 2026, 7:38 p.m. |
Created at: March 30, 2026, 6:51 p.m.