Triple
T24801332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport S |
E620530
|
entity |
| Predicate | addsOverBaseModel |
P150602
|
FINISHED |
| Object | enhanced comfort features |
—
|
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: enhanced comfort features | Statement: [Sport S, addsOverBaseModel, enhanced comfort features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addsOverBaseModel Context triple: [Sport S, addsOverBaseModel, enhanced comfort features]
-
A.
addsOverBase
chosen
Indicates that something is added on top of an existing base amount, value, or structure.
-
B.
associatedBase
Indicates a relationship where one entity is linked or connected to a corresponding base entity that it depends on or is derived from.
-
C.
appliesModel
Indicates that one entity uses or executes a specific model on another entity or data set.
-
D.
usesBase
Indicates that one entity relies on or operates using another entity as its foundational resource, framework, or reference point.
-
E.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f412aacd388190aa3cae919d6bdee2 |
completed | May 1, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:49 a.m.