Triple
T27323059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emory Long-Term Acute Care Hospital |
E689560
|
entity |
| Predicate | typicalLengthOfStay |
P7618
|
FINISHED |
| Object | more than 25 days |
—
|
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: more than 25 days | Statement: [Emory Long-Term Acute Care Hospital, typicalLengthOfStay, more than 25 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLengthOfStay Context triple: [Emory Long-Term Acute Care Hospital, typicalLengthOfStay, more than 25 days]
-
A.
lengthOfStay
Indicates the duration of time that an entity remains at or within a particular place, service, or state.
-
B.
typicalDurationDays
chosen
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
typicalAdmission
Indicates that an entity is a standard or commonly expected type of admission associated with another entity (such as an institution, event, or program).
-
D.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
E.
rehabilitationPeriod
Indicates the span of time during which restorative or corrective measures are applied to return an entity to an acceptable or functional state.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 27, 2026, 11:34 a.m.