Triple
T29926991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bountiful Utah Temple |
E760107
|
entity |
| Predicate | numberOfDedicationSessions |
P201857
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Bountiful Utah Temple, numberOfDedicationSessions, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDedicationSessions Context triple: [Bountiful Utah Temple, numberOfDedicationSessions, 28]
-
A.
numberOfSittings
Indicates the total count of distinct sittings or sessions associated with an entity or event.
-
B.
minimumSessionsPerYear
Indicates the smallest number of sessions that must occur within a one-year period.
-
C.
seatingCapacityDaySessions
Indicates the maximum number of people that can be seated during daytime sessions.
-
D.
heldSessionsIn
Indicates that an entity organized or conducted one or more sessions, meetings, or events at a specified location or venue.
-
E.
numberOfCommitments
Indicates the total count of commitments associated with a given entity or context.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
| PDg | Predicate description generation | batch_6a002ae65e0c81909a5989dd73f027f5 |
completed | May 10, 2026, 6:51 a.m. |
Created at: April 29, 2026, 6:16 p.m.