Triple
T6882484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's College Hospital |
E158830
|
entity |
| Predicate | hasBedsApprox |
P51690
|
FINISHED |
| Object | 950–1000 |
—
|
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: 950–1000 | Statement: [King's College Hospital, hasBedsApprox, 950–1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBedsApprox Context triple: [King's College Hospital, hasBedsApprox, 950–1000]
-
A.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
B.
approximateNumberOfRooms
chosen
Indicates an estimated or not precisely known count of rooms associated with an entity.
-
C.
bedCount
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
-
D.
numberOfBathrooms
Indicates the total count of bathrooms associated with an entity (such as a property or unit).
-
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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e90c9481908d00634f67fa71f8 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.