Triple
T15358346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 New Jersey Turnpike collision |
E367220
|
entity |
| Predicate | promptedDiscussionOf |
P9239
|
FINISHED |
| Object | commercial truck safety regulations |
—
|
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: commercial truck safety regulations | Statement: [2014 New Jersey Turnpike collision, promptedDiscussionOf, commercial truck safety regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promptedDiscussionOf Context triple: [2014 New Jersey Turnpike collision, promptedDiscussionOf, commercial truck safety regulations]
-
A.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
B.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
C.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
D.
containsDiscussionOf
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
E.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.