Triple
T31549991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulip Festival in Morges |
E804971
|
entity |
| Predicate | hasSecondaryPlants |
P100522
|
FINISHED |
| Object | other spring flowers |
—
|
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: other spring flowers | Statement: [Tulip Festival in Morges, hasSecondaryPlants, other spring flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryPlants Context triple: [Tulip Festival in Morges, hasSecondaryPlants, other spring flowers]
-
A.
hasSecondaryCrops
Indicates that an entity, such as a farm or field, additionally produces or cultivates one or more secondary crops alongside its primary crop.
-
B.
hasSecondaryGrowth
Indicates that an organism or structure undergoes secondary growth, meaning it increases in thickness or girth after its initial (primary) growth phase.
-
C.
hasMajorPlant
Indicates that one entity possesses or hosts a primary or most significant plant facility or installation in relation to another entity.
-
D.
containsPlantsWith
chosen
Indicates that one entity includes or holds within it one or more plant entities.
-
E.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 30, 2026, 10:10 p.m.