Triple
T25864234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Histoire de la Révolution d’Angleterre |
E651567
|
entity |
| Predicate | analyzesTheme |
P139243
|
FINISHED |
| Object | relations between Crown and Parliament |
—
|
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: relations between Crown and Parliament | Statement: [Histoire de la Révolution d’Angleterre, analyzesTheme, relations between Crown and Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesTheme Context triple: [Histoire de la Révolution d’Angleterre, analyzesTheme, relations between Crown and Parliament]
-
A.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
-
B.
themeExplores
chosen
Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
-
C.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
featuresThemeBy
Indicates that something (such as a work, event, or product) prominently includes or centers around a particular theme created or defined by a specified source or 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 8:06 a.m.