Triple
T2108699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brega |
E42453
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Marsa al-Burayqah |
E234539
|
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: Marsa al-Burayqah | Statement: [Brega, hasAlternativeName, Marsa al-Burayqah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsa al-Burayqah Context triple: [Brega, hasAlternativeName, Marsa al-Burayqah]
-
A.
Marsa al-Brega
Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
-
B.
Al Khurmah
Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
-
C.
Al-Burayqah
chosen
Al-Burayqah is a coastal town in northeastern Libya known for its significant oil terminal and petrochemical facilities.
-
D.
Bahraich
Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
-
E.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
- 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_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_69ae51926e4481909dd148b5cab3b6ec |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:43 p.m.