Triple
T16965651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poppy Day |
E411532
|
entity |
| Predicate | redPoppyRepresents |
P98088
|
FINISHED |
| Object | blood of fallen 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: blood of fallen soldiers | Statement: [Poppy Day, redPoppyRepresents, blood of fallen soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redPoppyRepresents Context triple: [Poppy Day, redPoppyRepresents, blood of fallen soldiers]
-
A.
poppyRepresents
chosen
Indicates that a poppy symbolically stands for or evokes a particular concept, value, or commemoration in relation to another entity.
-
B.
rainbowRepresents
Indicates that one entity (the rainbow) symbolically stands for, signifies, or is used to represent another entity, concept, or idea.
-
C.
blueRepresents
Indicates that the color blue is used to symbolize, denote, or stand for a particular concept, state, or category in a given context.
-
D.
rimRepresents
Indicates that one entity serves as a representation, model, or stand-in for another entity within a specific context or system.
-
E.
whiteStarRepresents
Indicates that a white star symbol is used to stand for, denote, or signify a particular entity, concept, or status.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a3cecc8190a490573adce80cca |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.