Triple
T17093922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca, Morocco |
E414790
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Anfa |
E1250736
|
NE FINISHED |
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: Anfa | Statement: [Casablanca, Morocco, hasDistrict, Anfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anfa Context triple: [Casablanca, Morocco, hasDistrict, Anfa]
-
A.
Anfa
chosen
Anfa is the historic coastal settlement that evolved into modern-day Casablanca, serving as an important port and cultural center in what is now western Morocco.
-
B.
Akbou
Akbou is a significant urban center in the Kabylie region of northern Algeria, known for its role as a local economic and cultural hub.
-
C.
Iferouane
Iferouane is a remote oasis town in northern Niger, known as a gateway to the Aïr Mountains and the Sahara desert.
-
D.
Mourouj
Mourouj is a suburban town in northern Tunisia that forms part of the greater Tunis metropolitan area.
-
E.
Agouza
Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0141422d6c819086dc98988c0851d9 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:35 a.m.