Triple
T37930321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phobia Phear Coaster |
E946196
|
entity |
| Predicate | restraintFeature |
P22102
|
FINISHED |
| Object | over-the-shoulder comfort collars |
—
|
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: over-the-shoulder comfort collars | Statement: [Phobia Phear Coaster, restraintFeature, over-the-shoulder comfort collars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restraintFeature Context triple: [Phobia Phear Coaster, restraintFeature, over-the-shoulder comfort collars]
-
A.
restraintType
chosen
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
B.
restraintPurpose
Indicates that one entity is used to restrain another entity for a specific purpose or intended outcome.
-
C.
restraintManufacturer
Indicates that one entity is the manufacturer or producer of a restraint device used to limit or control another entity.
-
D.
usesRestraints
Indicates that one entity applies or employs physical or procedural restraints on another entity.
-
E.
tractionControl
Indicates that a system regulates wheel slip to maintain optimal traction between a vehicle’s tires and the driving surface.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.