Triple
T3768814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Tours |
E82745
|
entity |
| Predicate | includeMountainStages |
P16779
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Grand Tours, includeMountainStages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includeMountainStages Context triple: [Grand Tours, includeMountainStages, yes]
-
A.
mountainStages
chosen
Indicates that the event or activity takes place during stages that are classified as mountain stages, typically characterized by significant climbing or mountainous terrain.
-
B.
numberOfStepsToSummit
Indicates the total count of steps required to reach the summit from a specified starting point.
-
C.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
D.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
E.
sourceMountainRange
Indicates that a river, stream, or similar feature originates from or has its source in a specified mountain range.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.