Triple
T28107308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockenheimring modern layout |
E710397
|
entity |
| Predicate | safetyUpgradeReason |
P87974
|
FINISHED |
| Object | shortened to improve safety |
—
|
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: shortened to improve safety | Statement: [Hockenheimring modern layout, safetyUpgradeReason, shortened to improve safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyUpgradeReason Context triple: [Hockenheimring modern layout, safetyUpgradeReason, shortened to improve safety]
-
A.
safetyRationale
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
B.
purposeOfUpgrade
chosen
Indicates that an upgrade is carried out with a specific intended purpose, goal, or reason in mind.
-
C.
safetyBenefit
Indicates that one entity provides, contributes to, or results in an improvement in the safety or risk reduction experienced by another entity.
-
D.
safetyChangesImplemented
Indicates that specific safety-related modifications or measures have been put into effect.
-
E.
safetyRatingHighlight
Indicates that an entity’s safety rating is emphasized or specially marked as noteworthy compared to others.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 9:09 p.m.