Triple
T10953802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmanuel de Grouchy |
E258789
|
entity |
| Predicate | hasPartInWikiCategory |
P15481
|
FINISHED |
| Object | Marshals of Napoleon I |
—
|
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: Marshals of Napoleon I | Statement: [Emmanuel de Grouchy, hasPartInWikiCategory, Marshals of Napoleon I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInWikiCategory Context triple: [Emmanuel de Grouchy, hasPartInWikiCategory, Marshals of Napoleon I]
-
A.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
D.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
E.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.