Triple
T2633901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Grand Prix |
E59697
|
entity |
| Predicate | fanReputation |
P38677
|
FINISHED |
| Object | one of the most atmospheric F1 races |
—
|
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: one of the most atmospheric F1 races | Statement: [Brazilian Grand Prix, fanReputation, one of the most atmospheric F1 races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanReputation Context triple: [Brazilian Grand Prix, fanReputation, one of the most atmospheric F1 races]
-
A.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
B.
fanbaseCharacteristic
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
C.
fandomReception
chosen
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its fan community.
-
D.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
-
E.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.