Triple
T2458106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of Faith |
E54468
|
entity |
| Predicate | startFeastOrEvent |
P10624
|
FINISHED |
| Object | 50th anniversary of the opening of the Second Vatican Council |
—
|
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: 50th anniversary of the opening of the Second Vatican Council | Statement: [Year of Faith, startFeastOrEvent, 50th anniversary of the opening of the Second Vatican Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startFeastOrEvent Context triple: [Year of Faith, startFeastOrEvent, 50th anniversary of the opening of the Second Vatican Council]
-
A.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
B.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
C.
organisedEvent
Indicates that an entity planned, coordinated, and carried out an event.
-
D.
occasionForStart
chosen
Indicates that one event, condition, or circumstance serves as the trigger or reason for another event or process to begin.
-
E.
typeOfEventForStart
Indicates the specific kind or category of event that marks the beginning of something.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.