Triple
T20264349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oulad Berhil |
E498924
|
entity |
| Predicate | distanceToAgadir_km |
P90346
|
FINISHED |
| Object | approximately 80–90 |
—
|
LITERAL 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: approximately 80–90 | Statement: [Oulad Berhil, distanceToAgadir_km, approximately 80–90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAgadir_km Context triple: [Oulad Berhil, distanceToAgadir_km, approximately 80–90]
-
A.
distanceToAgadir
chosen
Indicates the spatial distance between a given entity’s location and the city of Agadir.
-
B.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
-
C.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
-
D.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
E.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
- F. None of above.
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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ce27688190b31d7a6c98d3ec5e |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.