Triple
T33942307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botany Pond |
E870195
|
entity |
| Predicate | hasSeasonalChange |
P31603
|
FINISHED |
| Object | frozen surface in winter |
—
|
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: frozen surface in winter | Statement: [Botany Pond, hasSeasonalChange, frozen surface in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonalChange Context triple: [Botany Pond, hasSeasonalChange, frozen surface in winter]
-
A.
hasSeasonalNature
chosen
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
B.
seasonCycle
Indicates a recurring pattern or sequence of seasons or seasonal phases that repeat over time.
-
C.
hasSeasonalSpecies
Indicates that certain species are present or occur only during specific seasons in relation to a given context or location.
-
D.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
E.
haveFourSeasons
Indicates that something experiences or is characterized by four distinct seasons in its annual cycle.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 1, 2026, 1:49 a.m.