Triple
T427254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of the Unknown Warrior |
E9633
|
entity |
| Predicate | hasAssociatedFlower |
P579
|
FINISHED |
| Object | red poppy |
—
|
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: red poppy | Statement: [Tomb of the Unknown Warrior, hasAssociatedFlower, red poppy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedFlower Context triple: [Tomb of the Unknown Warrior, hasAssociatedFlower, red poppy]
-
A.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
B.
hasBirthFlower
Indicates that one entity is the designated birth flower associated with another entity (typically a person or birth date).
-
C.
flowerType
chosen
Indicates the specific kind or category of flower associated with an entity.
-
D.
hasOfficialStateFlower
Indicates that a political entity is formally designated as having a particular flower as its official state symbol.
-
E.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed7f3508190995dcd39586ed614 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd7a3608190b8785c7b7205f6c1 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.