Triple
T35175982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery, Minnesota |
E1015700
|
entity |
| Predicate | ethnicFestival |
P192731
|
FINISHED |
| Object | Kolacky Days |
—
|
NE NERFINISHED |
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: Kolacky Days | Statement: [Montgomery, Minnesota, ethnicFestival, Kolacky Days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicFestival Context triple: [Montgomery, Minnesota, ethnicFestival, Kolacky Days]
-
A.
festivalObserved
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
B.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
-
C.
festivalCountry
Indicates the country in which a given festival takes place or is held.
-
D.
otherFestival
Indicates that one festival is distinct from and not the same as another referenced festival.
-
E.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
| PDg | Predicate description generation | batch_69fd28379d2c8190903ba228ee1cc756 |
completed | May 8, 2026, 12:03 a.m. |
Created at: May 3, 2026, 4:02 p.m.