Triple
T698619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giro d'Italia |
E13947
|
entity |
| Predicate | flatStages |
P16780
|
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: [Giro d'Italia, flatStages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flatStages Context triple: [Giro d'Italia, flatStages, yes]
-
A.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
B.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
C.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
D.
stageName
Indicates that one entity is the performance or professional name used by another entity.
-
E.
energyStage
Indicates the specific phase or level within an energy-related process, cycle, or transformation that an entity is currently in.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c99be48190babc37c397b6a186 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc20880819085fa60dc1851f9dc |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.