Triple
T20439118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamegroute |
E501334
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Ouarzazate |
—
|
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: Ouarzazate | Statement: [Tamegroute, nearbyCity, Ouarzazate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouarzazate Context triple: [Tamegroute, nearbyCity, Ouarzazate]
-
A.
Ouarzazate
chosen
Ouarzazate is a city in south-central Morocco known as a gateway to the Sahara Desert and a major hub for film production and desert tourism.
-
B.
Tiznit
Tiznit is a historic town in southern Morocco known for its traditional silver jewelry craftsmanship and fortified old medina.
-
C.
Guelmim
Guelmim is a city in southern Morocco known as a gateway to the Sahara and a regional center for Saharan trade and culture.
-
D.
Touggourt
Touggourt is an oasis city in northeastern Algeria, known historically as a Saharan trading center and now as a regional hub in the Algerian desert.
-
E.
Oujda
Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f112e48190a3af818c0f6ee839 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.