Triple
T33181954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldo Costa |
E849351
|
entity |
| Predicate | associatedWithTitleWinningCars |
P206372
|
FINISHED |
| Object | Formula One World Drivers' Championship |
E318273
|
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: Formula One World Drivers' Championship | Statement: [Aldo Costa, associatedWithTitleWinningCars, Formula One World Drivers' Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTitleWinningCars Context triple: [Aldo Costa, associatedWithTitleWinningCars, Formula One World Drivers' Championship]
-
A.
winningCar
Indicates that a particular car is the one that has achieved first place or victory in a race or competition.
-
B.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
C.
poweredTitleWinningDriver
Indicates that an entity (such as a team, engine, or manufacturer) powered the driver who won the title or championship.
-
D.
driversTitlesWithCar
Indicates that drivers are associated with specific titles in the context of particular cars they drive.
-
E.
wonDriversTitleIn
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525cbeef08190bab7af698cbe798d |
completed | June 19, 2026, 11:19 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:29 a.m.