Triple
T7492498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings Park Psychiatric Center |
E177037
|
entity |
| Predicate | numberOfBedsAtPeak |
P29715
|
FINISHED |
| Object | 9000+ |
—
|
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: 9000+ | Statement: [Kings Park Psychiatric Center, numberOfBedsAtPeak, 9000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBedsAtPeak Context triple: [Kings Park Psychiatric Center, numberOfBedsAtPeak, 9000+]
-
A.
numberOfBedrooms
Indicates the quantity of bedrooms associated with a given property or dwelling.
-
B.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
C.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
D.
bedCount
chosen
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
-
E.
beds
Indicates that one entity provides or designates a place for another entity to sleep or rest.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.