Triple
T17863902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oran Province |
E446640
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Arzew |
—
|
NE NERFINISHED |
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: Arzew | Statement: [Oran Province, contains, Arzew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arzew Context triple: [Oran Province, contains, Arzew]
-
A.
Arzew
chosen
Arzew is a coastal town and port in northwestern Algeria, historically significant as a strategic Mediterranean harbor and later as a center for the country’s oil and gas industry.
-
B.
Aourir
Aourir is a small coastal town in southwestern Morocco, known for its banana plantations and proximity to the surf beaches near Agadir.
-
C.
Ahlat
Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
-
D.
Artouz
Artouz is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
-
E.
Akbou
Akbou is a significant urban center in the Kabylie region of northern Algeria, known for its role as a local economic and cultural hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49792ccf88190a0984963bb385688 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.