Triple
T27802939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Raymond |
E702293
|
entity |
| Predicate | partOfOperations |
P123949
|
FINISHED |
| Object | Grant's operations against Vicksburg |
—
|
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: Grant's operations against Vicksburg | Statement: [Battle of Raymond, partOfOperations, Grant's operations against Vicksburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfOperations Context triple: [Battle of Raymond, partOfOperations, Grant's operations against Vicksburg]
-
A.
isPartOfOperation
chosen
Indicates that one entity functions as a component, phase, or element within a larger, overarching operation.
-
B.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
C.
subjectOfOperation
Indicates that an entity is the primary focus, target, or object upon which an operation or procedure is performed.
-
D.
operatesBy
Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
-
E.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: April 27, 2026, 5:36 p.m.