Triple
T4549770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindelheim |
E110132
|
entity |
| Predicate | FrundsbergfestFrequency |
P57940
|
FINISHED |
| Object | every three years |
—
|
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: every three years | Statement: [Mindelheim, FrundsbergfestFrequency, every three years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrundsbergfestFrequency Context triple: [Mindelheim, FrundsbergfestFrequency, every three years]
-
A.
FêteDesVigneronsFrequency
Indicates how often the Fête des Vignerons event takes place over time.
-
B.
festivalFounded
Indicates that a particular festival was established or created by a specific person, group, or organization.
-
C.
festivalObserved
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
D.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f3f8348190868e274ac4df87ce |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:05 p.m.