Triple
T21457321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas Speedcell |
E529375
|
entity |
| Predicate | hasPanels |
P42161
|
FINISHED |
| Object | thermally bonded panels |
—
|
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: thermally bonded panels | Statement: [Adidas Speedcell, hasPanels, thermally bonded panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanels Context triple: [Adidas Speedcell, hasPanels, thermally bonded panels]
-
A.
hasPanel
chosen
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasInformationPanels
Indicates that an entity is equipped with or accompanied by informational panels that provide explanatory or descriptive content.
-
C.
hasPanelComposition
Indicates that something is composed of or structured into multiple panels or panel-like sections.
-
D.
hasSculptedPanels
Indicates that an entity features or includes panels that have been sculpted as part of its design or structure.
-
E.
numberOfPanels
Indicates the total count of distinct panels associated with or contained within a given 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:08 p.m.