Triple
T35468758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rexburg Idaho Temple |
E1025150
|
entity |
| Predicate | hasInstructionRooms |
P202244
|
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: [Rexburg Idaho Temple, hasInstructionRooms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionRooms Context triple: [Rexburg Idaho Temple, hasInstructionRooms, yes]
-
A.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
B.
hasStateRooms
Indicates that an entity (such as a ship, building, or facility) contains or is equipped with state rooms.
-
C.
hasLectureHall
Indicates that an entity possesses, includes, or is associated with a lecture hall as part of its facilities or structure.
-
D.
hasSingleRooms
Indicates that an entity offers or includes individual rooms intended for single occupancy.
-
E.
hasNumberOfClassrooms
Indicates the relationship that specifies how many classrooms are associated with a given entity.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
| PDg | Predicate description generation | batch_6a0064f8496081908ac3bb4c53ed08aa |
completed | May 10, 2026, 10:59 a.m. |
Created at: May 3, 2026, 4:04 p.m.