Triple
T18098720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAFER barriers |
E433156
|
entity |
| Predicate | safetyStandardFor |
P20206
|
FINISHED |
| Object | major North American oval tracks |
—
|
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: major North American oval tracks | Statement: [SAFER barriers, safetyStandardFor, major North American oval tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyStandardFor Context triple: [SAFER barriers, safetyStandardFor, major North American oval tracks]
-
A.
safetyStandardsSimilarTo
Indicates that two entities have safety standards that are comparable or closely aligned in their requirements or rigor.
-
B.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
C.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
-
D.
safetyRequirement
chosen
Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
-
E.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb3ef548190a322f98917b54a59 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.