Triple
T359222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter Grist Mill |
E7810
|
entity |
| Predicate | typicalOpeningSeason |
P1014
|
FINISHED |
| Object | late spring to early fall |
—
|
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: late spring to early fall | Statement: [Dexter Grist Mill, typicalOpeningSeason, late spring to early fall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOpeningSeason Context triple: [Dexter Grist Mill, typicalOpeningSeason, late spring to early fall]
-
A.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
-
B.
seasonTypicalEndMonth
Indicates the month in which a given season typically ends.
-
C.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
-
D.
typicalSeasonMeetings
Indicates that there are regularly occurring meetings associated with a particular season or time period.
-
E.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb248608190b060553219616043 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.