Triple
T13502882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Constructors' Championship |
E320936
|
entity |
| Predicate | mostTitlesConstructorCount |
P79236
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [World Constructors' Championship, mostTitlesConstructorCount, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostTitlesConstructorCount Context triple: [World Constructors' Championship, mostTitlesConstructorCount, 16]
-
A.
runnerUpMostTitles
Indicates that an entity holds the record for having the highest number of runner-up finishes or second-place titles in a given competition or context.
-
B.
mostTitlesTeamTitles
chosen
Indicates that the referenced team holds the highest number of titles compared to all other teams in the specified context.
-
C.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
D.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
E.
numberOfTitlesHeldByRecordHolders
Indicates the total count of titles held by the entities that are recognized as record holders.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf50f4a48190a44fc537b78c32fd |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.