Triple
T24842430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Pentecost |
E621650
|
entity |
| Predicate | hasForefeast |
P157755
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mid-Pentecost, hasForefeast, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasForefeast Context triple: [Mid-Pentecost, hasForefeast, yes]
-
A.
hasAfterfeast
Indicates that one event, celebration, or feast occurs as a follow-up or continuation after another feast.
-
B.
hasAssociatedFeast
Indicates that something (such as a person, event, or entity) is linked to a specific feast or celebratory religious observance.
-
C.
feastPrecededBy
Indicates that one feast occurs after and is temporally preceded by another feast.
-
D.
feastOf
Indicates that one entity is the religious or ceremonial feast day associated with another entity (such as a person, event, or deity).
-
E.
hasFeastOrCommemoration
Indicates that a particular day, event, or context includes an associated religious feast, liturgical celebration, or commemorative observance.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:19 a.m.