Triple
T18964677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermontville, Michigan |
E464002
|
entity |
| Predicate | mapleSyrupFestivalFirstHeld |
P98514
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Vermontville, Michigan, mapleSyrupFestivalFirstHeld, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapleSyrupFestivalFirstHeld Context triple: [Vermontville, Michigan, mapleSyrupFestivalFirstHeld, 1940s]
-
A.
festivalFoundedIn
chosen
Indicates that a festival was established or created in a specific year or time period.
-
B.
majorFestivalStartDate
Indicates the calendar date on which a major festival begins.
-
C.
cherryFestivalHeldIn
Indicates that a cherry festival takes place or is hosted in a specified location.
-
D.
festivalFounded
Indicates that a particular festival was established or created by a specific person, group, or organization.
-
E.
wasFirstNationalContestAfter
Indicates that one national contest was the first such contest to occur after another specified national contest.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d5365881909dcbb4988d273b24 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon