Triple
T31592381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenvoorde |
E806133
|
entity |
| Predicate | flowerParadeSeason |
P172588
|
FINISHED |
| Object | held in late summer |
—
|
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: held in late summer | Statement: [Lichtenvoorde, flowerParadeSeason, held in late summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerParadeSeason Context triple: [Lichtenvoorde, flowerParadeSeason, held in late summer]
-
A.
flowerParadeType
Indicates the specific kind or category of a flower parade associated with an entity.
-
B.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
-
C.
bloomSeason
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
D.
flowerEmergence
Indicates the point or process at which a flower becomes visible or emerges from its bud or supporting structure.
-
E.
floweringPattern
Indicates how and when a plant produces flowers, such as the timing, frequency, and arrangement of its blooming.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:28 p.m.