Triple
T3688995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walpurgis Night |
E78297
|
entity |
| Predicate | folkloreBelief |
P34064
|
FINISHED |
| Object | witches gather on mountaintops |
—
|
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: witches gather on mountaintops | Statement: [Walpurgis Night, folkloreBelief, witches gather on mountaintops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: folkloreBelief Context triple: [Walpurgis Night, folkloreBelief, witches gather on mountaintops]
-
A.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
B.
commonerReligion
Indicates that a commoner practices, follows, or is affiliated with a particular religion.
-
C.
hasSuperstition
chosen
Indicates that one entity holds or practices a particular superstition related to another entity or concept.
-
D.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
E.
bearerReligion
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4cb47208190b1321af859d02c51 |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.