Triple
T20646509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pabna Mental Hospital |
E507367
|
entity |
| Predicate | hasApproximateBedCapacity |
P29715
|
FINISHED |
| Object | over 500 beds |
—
|
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: over 500 beds | Statement: [Pabna Mental Hospital, hasApproximateBedCapacity, over 500 beds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateBedCapacity Context triple: [Pabna Mental Hospital, hasApproximateBedCapacity, over 500 beds]
-
A.
approximateNumberOfRooms
Indicates an estimated or not precisely known count of rooms associated with an entity.
-
B.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
C.
hasInpatientBeds
Indicates that an entity provides or is equipped with beds designated for admitting and treating inpatients.
-
D.
bedCount
chosen
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
-
E.
hasBedType
Indicates that an entity (such as a room or accommodation) is associated with a specific type or configuration of bed.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.