Triple
T4476005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancia Delta Integrale |
E100009
|
entity |
| Predicate | WRCConstructorsTitles |
P51154
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Lancia Delta Integrale, WRCConstructorsTitles, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WRCConstructorsTitles Context triple: [Lancia Delta Integrale, WRCConstructorsTitles, 6]
-
A.
manufacturerChampionshipsWonInWRC
Indicates the number of World Rally Championship (WRC) titles a manufacturer has won.
-
B.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
-
C.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
D.
constructorsChampionships
chosen
Indicates the number of championship titles won by a constructor (e.g., a racing team) in a given competition or series.
-
E.
WorldCupPodiums
Indicates that an entity has achieved a top-three (podium) finish in a FIFA World Cup tournament.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.