Triple
T16507597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghardaïa Province |
E400971
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Berriane |
E400268
|
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: Berriane | Statement: [Ghardaïa Province, contains, Berriane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berriane Context triple: [Ghardaïa Province, contains, Berriane]
-
A.
Berriane
chosen
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
-
B.
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.
-
C.
Auriol
Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
-
D.
Balasinor
Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
-
E.
Artouz
Artouz is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.