Triple
T36395982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tractate Chagigah |
E896479
|
entity |
| Predicate | discussesFestival |
P185432
|
FINISHED |
| Object | Passover |
—
|
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: Passover | Statement: [Tractate Chagigah, discussesFestival, Passover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussesFestival Context triple: [Tractate Chagigah, discussesFestival, Passover]
-
A.
festivalFeature
Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
-
B.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
C.
festivalSeries
Indicates that multiple festival events are related as parts of the same ongoing or recurring series.
-
D.
festivalFunction
Indicates that an event serves as a festival or is functioning in the role of a festival within a given context.
-
E.
frequentFilmFestival
Indicates that an entity regularly attends or participates in a particular film festival.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.