Triple
T2108701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brega |
E42453
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Al-Burayqah
Al-Burayqah is a coastal town in northeastern Libya known for its significant oil terminal and petrochemical facilities.
|
E234539
|
NE FINISHED |
How this triple was built (4 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-Burayqah | Statement: [Brega, hasAlternativeName, Al-Burayqah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Burayqah Context triple: [Brega, hasAlternativeName, Al-Burayqah]
-
A.
Al Uwayqilah
Al Uwayqilah is a small town located in the Northern Borders Region of Saudi Arabia, near the country’s frontier with Iraq.
-
B.
Al Sufouh
Al Sufouh is a coastal district in Dubai known for its mix of residential communities, business hubs, and proximity to major landmarks such as Dubai Marina and Palm Jumeirah.
-
C.
Hafar Al-Batin
Hafar Al-Batin is a city in northeastern Saudi Arabia, located near the borders with Kuwait and Iraq, known as a key desert crossroads and regional commercial center.
-
D.
Al Khurmah
Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
-
E.
Al-Ghat
Al-Ghat is a small town in central Saudi Arabia known for its agricultural heritage, traditional architecture, and location within the Najd region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Al-Burayqah Triple: [Brega, hasAlternativeName, Al-Burayqah]
Generated description
Al-Burayqah is a coastal town in northeastern Libya known for its significant oil terminal and petrochemical facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Burayqah Target entity description: Al-Burayqah is a coastal town in northeastern Libya known for its significant oil terminal and petrochemical facilities.
-
A.
Al Uwayqilah
Al Uwayqilah is a small town located in the Northern Borders Region of Saudi Arabia, near the country’s frontier with Iraq.
-
B.
Al Sufouh
Al Sufouh is a coastal district in Dubai known for its mix of residential communities, business hubs, and proximity to major landmarks such as Dubai Marina and Palm Jumeirah.
-
C.
Hafar Al-Batin
Hafar Al-Batin is a city in northeastern Saudi Arabia, located near the borders with Kuwait and Iraq, known as a key desert crossroads and regional commercial center.
-
D.
Al Khurmah
Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
-
E.
Al-Ghat
Al-Ghat is a small town in central Saudi Arabia known for its agricultural heritage, traditional architecture, and location within the Najd region.
- F. None of above. chosen
Provenance (5 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae03f308190841f5a419bb821f6 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae306ff3a481909ce3c34edb3ab0e2 |
completed | March 9, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69ae3112c4648190952ad02ef8037b36 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae3199909881909ffca021098c98ea |
completed | March 9, 2026, 2:34 a.m. |
Created at: March 4, 2026, 7:43 p.m.