Triple
T9876756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masaryk Circuit |
E240089
|
entity |
| Predicate | regionMotorsportImportance |
P55676
|
FINISHED |
| Object | major Central European circuit |
—
|
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: major Central European circuit | Statement: [Masaryk Circuit, regionMotorsportImportance, major Central European circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionMotorsportImportance Context triple: [Masaryk Circuit, regionMotorsportImportance, major Central European circuit]
-
A.
importanceInRacing
chosen
Indicates the degree to which something plays a significant or influential role within the context of racing.
-
B.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
C.
countrySignificance
Indicates the degree of importance, influence, or relevance that one country holds in relation to another entity or context.
-
D.
isMotorSportEventIn
Indicates that a particular motorsport event takes place within a specified location or venue.
-
E.
racecourseRegion
Indicates that a racecourse is located within, or associated with, a particular geographic or administrative region.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:37 p.m.