Triple
T7531567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sochi Autodrom |
E178034
|
entity |
| Predicate | firstGrandPrixYear |
P19145
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Sochi Autodrom, firstGrandPrixYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGrandPrixYear Context triple: [Sochi Autodrom, firstGrandPrixYear, 2014]
-
A.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
B.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
C.
firstTourDeFranceYear
Indicates the year in which an entity (typically a cyclist) first participated in the Tour de France.
-
D.
firstRunningYear
chosen
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
E.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.