Triple
T13410882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia War Memorial (conceptual approach to commemoration) |
E320081
|
entity |
| Predicate | framesWarAs |
P42942
|
FINISHED |
| Object | a source of personal and collective loss |
—
|
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 source of personal and collective loss | Statement: [Virginia War Memorial (conceptual approach to commemoration), framesWarAs, a source of personal and collective loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framesWarAs Context triple: [Virginia War Memorial (conceptual approach to commemoration), framesWarAs, a source of personal and collective loss]
-
A.
framesAs
chosen
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
B.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
C.
framesViewOf
Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
-
D.
frameOfAction
Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
-
E.
framesConflictAs
Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
- 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.