Triple
T20292049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Presidency |
E510050
|
entity |
| Predicate | publicAddressesVenue |
P5921
|
FINISHED |
| Object | general conference of the Church |
—
|
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: general conference of the Church | Statement: [First Presidency, publicAddressesVenue, general conference of the Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicAddressesVenue Context triple: [First Presidency, publicAddressesVenue, general conference of the Church]
-
A.
addressesPosition
Indicates that one entity communicates with, responds to, or deals with the role, status, or job position held by another entity.
-
B.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
C.
primaryVenueFor
chosen
Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
-
D.
helpsAddress
Indicates that one entity contributes to solving, mitigating, or dealing with an issue, need, or problem associated with another entity.
-
E.
primaryVenues
Indicates the main or most important venues associated with or used by a given 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67700c024819091205f5b0a8648e3 |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:12 a.m.