Triple
T12745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California poppy |
E256
|
entity |
| Predicate | designatedStateFlowerYear |
P1350
|
FINISHED |
| Object | 1903 |
—
|
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: 1903 | Statement: [California poppy, designatedStateFlowerYear, 1903]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedStateFlowerYear Context triple: [California poppy, designatedStateFlowerYear, 1903]
-
A.
hasOfficialStateFlower
Indicates that a political entity is formally designated as having a particular flower as its official state symbol.
-
B.
stateFlower
Indicates the official flower designated as the symbolic floral emblem of a particular state.
-
C.
stateCapitalSince
Indicates that one location has served as the official capital of a state continuously from a specified starting time.
-
D.
hasOfficialStateBird
Indicates that a particular bird species is formally designated as the official state bird of a given state or region.
-
E.
hasOfficialStateAnimal
Indicates that a political entity has a formally designated animal recognized as its official state symbol.
- F. None of above. chosen
Provenance (4 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a243abb2ec8190937365e5ecec52ad |
completed | Feb. 28, 2026, 1:23 a.m. |
| PD | Predicate disambiguation | batch_69a23fe9470c8190918a6ca1df168646 |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a243aa85848190813154e8a6495200 |
completed | Feb. 28, 2026, 1:23 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.