Triple
T29949977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volta a Catalunya |
E760740
|
entity |
| Predicate | routeChangesEveryYear |
P168287
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Volta a Catalunya, routeChangesEveryYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeChangesEveryYear Context triple: [Volta a Catalunya, routeChangesEveryYear, true]
-
A.
changedConfigurationInYear
Indicates that an entity altered or updated its configuration during a specified calendar year.
-
B.
changedInYear
Indicates that an entity underwent a change or modification during a specified calendar year.
-
C.
roadBypassedInYear
Indicates that a particular road was bypassed or replaced by an alternative route in the specified year.
-
D.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
E.
travelsToYear
Indicates that an entity moves or is transported from its original time to a specified calendar year.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780e8f408190a7186c21427926af |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:25 p.m.