Triple
T9270052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi national rail network |
E222800
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Abqaiq |
E218487
|
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: Abqaiq | Statement: [Saudi national rail network, connectsWith, Abqaiq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abqaiq Context triple: [Saudi national rail network, connectsWith, Abqaiq]
-
A.
حقل بقيق
حقل بقيق هو أحد أكبر وأهم حقول النفط في المملكة العربية السعودية والعالم، ويُعد مركزاً رئيسياً لمعالجة النفط الخام في المنطقة الشرقية.
-
B.
Abqaiq processing facility
chosen
The Abqaiq processing facility is one of the world’s largest oil processing plants and a critical hub in Saudi Arabia’s crude oil production and export infrastructure.
-
C.
Shaybah oil field
Shaybah oil field is a major remote oil-producing field in Saudi Arabia’s Rub’ al Khali desert, known for its vast reserves and strategic importance to the country’s petroleum output.
-
D.
Ras Tanura
Ras Tanura is a major Saudi Arabian oil port and industrial city on the Persian Gulf, known for its large oil refinery and export facilities.
-
E.
Khurais oil field
Khurais oil field is one of Saudi Arabia’s largest onshore oil fields, playing a major role in the country’s crude oil production capacity.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078525308190abfb883123742d3f |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2ca500819083ef4aa37f3e3a7f |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:33 p.m.