Triple
T9187114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleonic institutions |
E220486
|
entity |
| Predicate | partlyContinuedAs |
P20918
|
FINISHED |
| Object | institutions of the Bourbon Restoration |
—
|
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: institutions of the Bourbon Restoration | Statement: [Napoleonic institutions, partlyContinuedAs, institutions of the Bourbon Restoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyContinuedAs Context triple: [Napoleonic institutions, partlyContinuedAs, institutions of the Bourbon Restoration]
-
A.
continuedBy
chosen
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
-
B.
concludingPartOf
Indicates that one entity serves as the final or closing section of another entity, bringing it to an end.
-
C.
regenerationContinuedIn
Indicates that an ongoing process of regeneration persists or is maintained within a specified context, location, or time period.
-
D.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
E.
hasSequelOrRelated
Indicates that one work follows, continues, or is otherwise narratively or thematically related to another work.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.