Triple
T10113661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineteen Day Feast |
E218302
|
entity |
| Predicate | numberOfFeastsPerYear |
P92274
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Nineteen Day Feast, numberOfFeastsPerYear, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFeastsPerYear Context triple: [Nineteen Day Feast, numberOfFeastsPerYear, 19]
-
A.
numberOfGreatFeasts
Indicates the total count of great feasts associated with or observed by an entity.
-
B.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
C.
containsFixedFeasts
Indicates that an entity includes or encompasses specific feasts that occur on fixed, recurring calendar dates.
-
D.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
E.
extendedFeast
Indicates a situation where a feast or celebratory meal continues for an unusually long or prolonged period of time.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd15ed28081909a812e0634799ef8 |
completed | April 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9ed7e48190aa132ef8a69b49f9 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:04 p.m.