Triple
T9101764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHSLD |
E218374
|
entity |
| Predicate | careLevel |
P19738
|
FINISHED |
| Object | high level of dependency |
—
|
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: high level of dependency | Statement: [CHSLD, careLevel, high level of dependency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careLevel Context triple: [CHSLD, careLevel, high level of dependency]
-
A.
care
Indicates showing concern, attention, or responsibility for the well-being or needs of another entity.
-
B.
requiresCare
chosen
Indicates that one entity depends on another to provide care, attention, or maintenance for its proper functioning or well-being.
-
C.
affectedLevel
Indicates the degree or extent to which one entity is impacted or influenced by another entity or event.
-
D.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
E.
treatmentLevel
Indicates the degree or intensity of a treatment applied or received in a given context.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.