Triple
T19206037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todgha Gorges |
E480234
|
entity |
| Predicate | distanceFromTinghir |
P134963
|
FINISHED |
| Object | approximately 15 kilometers |
—
|
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 15 kilometers | Statement: [Todgha Gorges, distanceFromTinghir, approximately 15 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTinghir Context triple: [Todgha Gorges, distanceFromTinghir, approximately 15 kilometers]
-
A.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
-
B.
distanceToAgadir
Indicates the spatial distance between a given entity’s location and the city of Agadir.
-
C.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
D.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
E.
distanceFromZagora
Indicates the spatial distance between a given entity and the location named Zagora.
- F. None of above. chosen
Provenance (4 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99d8ad0819098ebd4ee007149f1 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:19 p.m.