Triple
T9849590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inezgane |
E239429
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Aït Melloul |
E241655
|
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: Aït Melloul | Statement: [Inezgane, nearbyCity, Aït Melloul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aït Melloul Context triple: [Inezgane, nearbyCity, Aït Melloul]
-
A.
Aït Melloul
chosen
Aït Melloul is a town in southwestern Morocco that forms part of the greater Agadir metropolitan area and serves as an important local commercial and residential hub.
-
B.
Aïn Laloui
Aïn Laloui is a town and commune located in northern Algeria’s Bouira Province.
-
C.
Aïn Bessem
Aïn Bessem is a town and commune in northern Algeria, located within the mountainous Kabylie region.
-
D.
Aïn Fakroun
Aïn Fakroun is a town and commune in northeastern Algeria known as a local administrative and commercial center within Oum El Bouaghi Province.
-
E.
Aït Boumahdi
Aït Boumahdi is a town located in the mountainous Kabylie region of northern Algeria within Tizi Ouzou Province.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb372efc88190a801b2d7384445d7 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ea5eac8190af7fad00a6398c5e |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.