Triple
T34096744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central State Hospital (Milledgeville, Georgia) |
E874449
|
entity |
| Predicate | peakCapacityApproximate |
P21034
|
FINISHED |
| Object | over 12,000 patients |
—
|
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 12,000 patients | Statement: [Central State Hospital (Milledgeville, Georgia), peakCapacityApproximate, over 12,000 patients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakCapacityApproximate Context triple: [Central State Hospital (Milledgeville, Georgia), peakCapacityApproximate, over 12,000 patients]
-
A.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
B.
approximateCapacity
chosen
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
C.
capacityCategory
Indicates the classification of something based on the amount or volume it can hold, handle, or accommodate.
-
D.
capacityRecord
Indicates a recorded measure of how much of a resource, space, or system is available or can be utilized at a given time.
-
E.
stageCapacity
Indicates the maximum number of people or amount of occupancy that a particular stage can accommodate.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c5d397c8190a662b6137058c075 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.