Triple
T3922901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M’zab region |
E93202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
|
E400268
|
NE FINISHED |
How this triple was built (4 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: Berriane | Statement: [M’zab region, contains, Berriane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berriane Context triple: [M’zab region, contains, Berriane]
-
A.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
B.
Balasinor
Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
-
C.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
D.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berriane Triple: [M’zab region, contains, Berriane]
Generated description
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berriane Target entity description: Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
-
A.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
B.
Balasinor
Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
-
C.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
D.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- F. None of above. chosen
Provenance (5 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7c2c848190a6d62e2df9b942d4 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52870268881908463e30c11cda797 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c3d0c0481909e869cf88e3f8a9d |
completed | March 14, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52cb30f5c819095ac6e101a14b880 |
completed | March 14, 2026, 9:38 a.m. |
Created at: March 9, 2026, 3:22 p.m.