Triple
T10330100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMS |
E242851
|
entity |
| Predicate | supportsStyleDefinition |
P93450
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WMS, supportsStyleDefinition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStyleDefinition Context triple: [WMS, supportsStyleDefinition, true]
-
A.
supportsMarkupStyle
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified markup style associated with another entity.
-
B.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
hasStructuralStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
-
D.
supportsCommentsStyle
Indicates that one entity is capable of handling or displaying comments in a particular style or formatting convention.
-
E.
compatibleStylus
Indicates that one object can function properly as a stylus with another device or surface.
- F. None of above. chosen
Provenance (4 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f760e88190abea6dcc4f04f2c1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.