Triple
T21937570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temiskaming Hospital |
E541731
|
entity |
| Predicate | offersCareLevel |
P146619
|
FINISHED |
| Object | secondary care |
—
|
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: secondary care | Statement: [Temiskaming Hospital, offersCareLevel, secondary care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCareLevel Context triple: [Temiskaming Hospital, offersCareLevel, secondary care]
-
A.
offersProgramLevel
Indicates that an entity provides or makes available an academic or training program at a specified level (e.g., undergraduate, graduate, certificate).
-
B.
offersStatusLevels
Indicates that an entity provides or makes available different tiers or levels of status to another entity.
-
C.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
D.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
E.
offersTrimLevel
Indicates that a product or model is available in a specific trim level or configuration option.
- F. None of above. chosen
Provenance (4 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:55 p.m.