Triple
T20442278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N13 highway |
E501424
|
entity |
| Predicate | connectsTown |
P845
|
FINISHED |
| Object | Azrou |
—
|
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: Azrou | Statement: [N13 highway, connectsTown, Azrou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azrou Context triple: [N13 highway, connectsTown, Azrou]
-
A.
Azrou
chosen
Azrou is a small Moroccan town in the Middle Atlas mountains, known for its cedar forests, Berber culture, and nearby Barbary macaque populations.
-
B.
Azilal
Azilal is a town in central Morocco known as a gateway to the Atlas Mountains and nearby natural attractions such as waterfalls and hiking areas.
-
C.
Taounate
Taounate is a prominent city in northern Morocco known as an administrative and commercial center for the surrounding rural and mountainous region.
-
D.
Sefrou
Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
-
E.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f3b794819080745b135a305ba7 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:32 a.m.