Triple
T13410883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia War Memorial (conceptual approach to commemoration) |
E320081
|
entity |
| Predicate | framesServiceAs |
P42942
|
FINISHED |
| Object | a form of personal sacrifice |
—
|
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: a form of personal sacrifice | Statement: [Virginia War Memorial (conceptual approach to commemoration), framesServiceAs, a form of personal sacrifice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framesServiceAs Context triple: [Virginia War Memorial (conceptual approach to commemoration), framesServiceAs, a form of personal sacrifice]
-
A.
framesAs
chosen
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
B.
framesViewOf
Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
-
C.
frameSupplier
Indicates that one entity supplies or provides frames (such as structural or supporting frameworks) to another entity.
-
D.
frameDevice
Indicates that one entity serves as a structural or supporting frame for another device or object.
-
E.
fccService
Indicates that an entity provides, is associated with, or falls under a service regulated or defined by the Federal Communications Commission (FCC).
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.