Triple
T21308100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiznit |
E525253
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | medina |
—
|
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: medina | Statement: [Tiznit, touristAttraction, medina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: medina Context triple: [Tiznit, touristAttraction, medina]
-
A.
medina
chosen
A medina is the historic, typically walled old quarter of a North African city, characterized by narrow streets, traditional markets, and dense urban fabric dating back to the Islamic medieval period.
-
B.
De Medina
De Medina is a variant form of the surname Medina, a common Spanish family name often indicating origin from the historic city of Medina.
-
C.
Madina
Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
-
D.
Medina
Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
-
E.
Medina
Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa863688190a5e45248e31eec88 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.