Triple
T8609519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTK |
E203881
|
entity |
| Predicate | supportsThemingSystem |
P83860
|
FINISHED |
| Object | CSS-like styling |
—
|
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: CSS-like styling | Statement: [GTK, supportsThemingSystem, CSS-like styling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsThemingSystem Context triple: [GTK, supportsThemingSystem, CSS-like styling]
-
A.
supportsThemeOf
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
B.
hasThemingDetail
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
-
C.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
hasThemeConnection
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:25 p.m.