Triple
T35730282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chase chicane |
E1032731
|
entity |
| Predicate | governingBodyConcern |
P15435
|
FINISHED |
| Object | FIA safety standards |
—
|
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: FIA safety standards | Statement: [The Chase chicane, governingBodyConcern, FIA safety standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingBodyConcern Context triple: [The Chase chicane, governingBodyConcern, FIA safety standards]
-
A.
governingBodyInvolvement
chosen
Indicates the extent or manner in which a governing body participates in, oversees, or influences a particular activity, decision, or entity.
-
B.
councilConcernedWith
Indicates that a council has responsibility for, oversight of, or active interest in a particular issue, subject, or matter.
-
C.
governingBodyImpacted
Indicates that a governing body is affected or influenced by a particular action, event, or condition.
-
D.
governingBodyInteraction
Indicates an interaction, collaboration, or influence relationship between a governing body and another entity or entities.
-
E.
governmentConcerned
Indicates that a government has a particular interest in, worry about, or focus on a specific issue, entity, or situation.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01ed1790148190b08c1dba53de4371 |
completed | May 11, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_6a01e9c20798819085760b377dc7b3fa |
completed | May 11, 2026, 2:37 p.m. |
Created at: May 3, 2026, 4:05 p.m.