Triple
T28290900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rory Byrne |
E713423
|
entity |
| Predicate | hasWonWithTeams |
P20666
|
FINISHED |
| Object | Formula One World Constructors’ Championships |
—
|
NE NERFINISHED |
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 Constructors’ Championships | Statement: [Rory Byrne, hasWonWithTeams, Formula One World Constructors’ Championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonWithTeams Context triple: [Rory Byrne, hasWonWithTeams, Formula One World Constructors’ Championships]
-
A.
winsWithTeam
chosen
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
B.
hadChampionTeam
Indicates that an entity (such as a league, season, or competition) had a specific team recognized as its champion.
-
C.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
D.
worldCupWonWithTeam
Indicates that an individual won a World Cup tournament while being a member of a specified team.
-
E.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 27, 2026, 11:29 p.m.