Triple
T2175845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Memory of Solferino |
E48525
|
entity |
| Predicate | firstPartSubject |
P450
|
FINISHED |
| Object | narrative of the Battle of Solferino |
—
|
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: narrative of the Battle of Solferino | Statement: [A Memory of Solferino, firstPartSubject, narrative of the Battle of Solferino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPartSubject Context triple: [A Memory of Solferino, firstPartSubject, narrative of the Battle of Solferino]
-
A.
firstPartTitle
Indicates that one entity is the first part or initial segment of the title of another entity.
-
B.
firstPartValue
Indicates that the subject entity represents the initial or leading portion of a larger value, sequence, or composite data item.
-
C.
firstPartFormat
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
D.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
E.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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.