Triple
T8917353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of the Seven Fishes |
E212324
|
entity |
| Predicate | mealTiming |
P46097
|
FINISHED |
| Object | evening |
—
|
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: evening | Statement: [Feast of the Seven Fishes, mealTiming, evening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mealTiming Context triple: [Feast of the Seven Fishes, mealTiming, evening]
-
A.
mealPeriod
chosen
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
-
B.
eveningMeal
Indicates the relationship in which an entity consumes or participates in a meal that takes place in the evening.
-
C.
typicalMealStructure
Indicates the usual sequence and composition of courses or components that make up a standard meal.
-
D.
dosingInterval
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
-
E.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.