Triple
T19373680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasbah Taourirt |
E484608
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Drâa-Tafilalet |
—
|
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: Drâa-Tafilalet | Statement: [Kasbah Taourirt, locatedInRegion, Drâa-Tafilalet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drâa-Tafilalet Context triple: [Kasbah Taourirt, locatedInRegion, Drâa-Tafilalet]
-
A.
Drâa-Tafilalet
chosen
Drâa-Tafilalet is an administrative region in southeastern Morocco known for its desert landscapes, oases, and location along the Atlas mountain ranges.
-
B.
Khouribga
Khouribga is a Moroccan city renowned as one of the world’s major centers of phosphate mining and production.
-
C.
Sidi Tiqi
Sidi Tiqi is a locality in Safi Province in the Casablanca-Settat region of western Morocco.
-
D.
M'Ress
M'Ress is a feline-like Caitian Starfleet communications officer who appears as a recurring character in Star Trek: The Animated Series.
-
E.
Souss Tachelhit
Souss Tachelhit is a major regional variety of the Tachelhit Berber language spoken primarily in Morocco’s Souss region.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61a59f8cc8190b314cba95c25f2a0 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.