Triple
T14478066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Nice 1960 |
E359025
|
entity |
| Predicate | partOfCalendar |
P114346
|
FINISHED |
| Object | European early-season road cycling calendar |
—
|
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: European early-season road cycling calendar | Statement: [Paris–Nice 1960, partOfCalendar, European early-season road cycling calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCalendar Context triple: [Paris–Nice 1960, partOfCalendar, European early-season road cycling calendar]
-
A.
partOfEvent
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
-
B.
calendarType
Indicates the type or system of calendar associated with an entity (e.g., Gregorian, lunar, fiscal).
-
C.
usesCalendar
Indicates that an entity employs or relies on a calendar system for organizing, tracking, or scheduling dates and events.
-
D.
calendarFeature
Indicates that an entity provides or supports calendar-related functionality, such as scheduling, event management, or date-based organization.
-
E.
celebratedEvent
Indicates that an entity has been honored, commemorated, or festively observed as a special event.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9248edb48190a74eb032aeaac027 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.