Triple
T16294609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colin McRae |
E395613
|
entity |
| Predicate | WRCStageWins |
P122565
|
FINISHED |
| Object | 477 |
—
|
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: 477 | Statement: [Colin McRae, WRCStageWins, 477]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WRCStageWins Context triple: [Colin McRae, WRCStageWins, 477]
-
A.
grandTourStageWin
Indicates that an individual has won a stage in one of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
B.
hasWonStageRaces
Indicates that an entity has achieved overall victories in one or more multi-stage races or competitions.
-
C.
WTCCWins
Indicates that the subject has won one or more titles in the World Touring Car Championship (WTCC).
-
D.
hasGrandTourStageWins
Indicates that one entity has achieved victories in stages of a Grand Tour cycling race (Tour de France, Giro d’Italia, or Vuelta a España).
-
E.
numberOfTourDeFranceStageWins
Indicates the total count of Tour de France stages that an entity (typically a cyclist) has won.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2c255881909d99c43770475329 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.