Triple
T21897129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oued Laou (town) |
E540707
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Oued Laou |
—
|
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: Oued Laou | Statement: [Oued Laou (town), namedAfter, Oued Laou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oued Laou Context triple: [Oued Laou (town), namedAfter, Oued Laou]
-
A.
Oued Laou
chosen
Oued Laou is a river in northern Morocco that flows through the Rif Mountains to the Mediterranean Sea, giving its name to the nearby coastal town.
-
B.
Oued Tata
Oued Tata is a river in southern Morocco that flows through the town of Tata, contributing to the region’s oasis and agricultural landscape.
-
C.
Oued Massa
Oued Massa is a river in southwestern Morocco known for flowing through the Souss-Massa National Park and supporting rich wetland biodiversity.
-
D.
Oued El Makhazine
Oued El Makhazine is a tributary river in northern Morocco that feeds into the Loukkos River within the country’s Atlantic watershed.
-
E.
Oued Ellil
Oued Ellil is a town in northern Tunisia that forms part of the suburban area west of the capital, Tunis.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc7c70c81908b9bb4de68616e41 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.