Triple
T36075456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Grand Prix |
E1043483
|
entity |
| Predicate | firstWorldChampionshipWinningTeam |
P204720
|
FINISHED |
| Object | Alfa Romeo |
E17567
|
NE 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: Alfa Romeo | Statement: [British Grand Prix, firstWorldChampionshipWinningTeam, Alfa Romeo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldChampionshipWinningTeam Context triple: [British Grand Prix, firstWorldChampionshipWinningTeam, Alfa Romeo]
-
A.
worldChampionshipTeams
Indicates that the subject is a team that participates in, or is associated with, a world championship competition.
-
B.
worldCupWinningTeam
Indicates that a team is the champion (winner) of a specific edition of the FIFA World Cup tournament.
-
C.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
D.
recordOfChampionTeam
Indicates that an entity represents the performance or achievement record associated with a champion team.
-
E.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
- F. None of above. chosen
Provenance (5 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d52105e88190b1f73cd99124868b |
completed | June 22, 2026, 6:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.