Triple
T6642340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhahran |
E150615
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dammam metropolitan area |
E27375
|
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: Dammam metropolitan area | Statement: [Dhahran, partOf, Dammam metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dammam metropolitan area Context triple: [Dhahran, partOf, Dammam metropolitan area]
-
A.
Dammam
chosen
Dammam is a major Saudi Arabian city and commercial hub on the eastern coast, serving as a key center for the country’s oil industry and maritime trade.
-
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.
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.
-
D.
Al-Ahsa
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.
-
E.
Riyadh
Riyadh is the capital and largest city of Saudi Arabia, serving as a major political, economic, and cultural center in the Arab world.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeef3f7481909929838858225f41 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.