Triple
T3768804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Tours |
E82745
|
entity |
| Predicate | stageCountRange |
P7615
|
FINISHED |
| Object | approximately 21 stages |
—
|
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 21 stages | Statement: [Grand Tours, stageCountRange, approximately 21 stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageCountRange Context triple: [Grand Tours, stageCountRange, approximately 21 stages]
-
A.
numberOfStages
chosen
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
B.
stageNumber
Indicates the specific sequential position or order of a stage within a multi-stage process or structure.
-
C.
coreStageLength
Indicates the length or duration of the main or primary stage within a multi-stage process or structure.
-
D.
phaseCount
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
E.
stageName
Indicates that one entity is the performance or professional name used by another entity.
- 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.