Triple
T19689778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Grand Prix |
E472803
|
entity |
| Predicate | oneOfOldestWorldChampionshipEvents |
P136934
|
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: [Italian Grand Prix, oneOfOldestWorldChampionshipEvents, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestWorldChampionshipEvents Context triple: [Italian Grand Prix, oneOfOldestWorldChampionshipEvents, true]
-
A.
WorldChampionshipsEvent
Indicates an event that is part of, or constitutes, a world-level championship competition.
-
B.
worldChampionshipsOrganiser
Indicates that the subject is responsible for organizing or managing world championship events for the object.
-
C.
isOneOfOldestConferencesIn
Indicates that a conference ranks among the oldest conferences within a specified location or domain.
-
D.
worldChampionshipFrequency
Indicates how often a world championship event is held or occurs over a given period.
-
E.
championshipHeld
Indicates that a championship event took place or was hosted at a particular time and/or location.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420f1a0c8190ae59aa0ab3ff2802 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.