Triple
T2175847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Memory of Solferino |
E48525
|
entity |
| Predicate | thirdPartSubject |
P34304
|
FINISHED |
| Object | proposal for international agreements on wounded soldiers |
—
|
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: proposal for international agreements on wounded soldiers | Statement: [A Memory of Solferino, thirdPartSubject, proposal for international agreements on wounded soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPartSubject Context triple: [A Memory of Solferino, thirdPartSubject, proposal for international agreements on wounded soldiers]
-
A.
thirdPartTitle
Indicates that an entity holds the title or designation of the third part in a sequence, series, or multipart structure.
-
B.
thirdParty
Indicates that an entity is a separate, external party involved in a relationship or transaction between two primary entities.
-
C.
book3Subject
chosen
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
D.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
E.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.