Triple
T10584888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backus Hospital |
E249829
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Backus Hospital |
E249829
|
NE 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: Backus Hospital | Statement: [Backus Hospital, name, Backus Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Backus Hospital Context triple: [Backus Hospital, name, Backus Hospital]
-
A.
Backus Hospital
chosen
Backus Hospital is a regional acute care medical center serving the community of Norwich and eastern Connecticut.
-
B.
Stoolbend Hospital
Stoolbend Hospital is a medical facility serving the fictional town of Stoolbend, Virginia, in the animated TV series "The Cleveland Show."
-
C.
Speare Memorial Hospital
Speare Memorial Hospital is a community healthcare facility serving Plymouth and the surrounding central New Hampshire region with a range of medical and surgical services.
-
D.
Tisch Hospital
Tisch Hospital is a major acute-care teaching hospital in Manhattan that serves as a primary clinical center for NYU Langone Health and NYU Grossman School of Medicine.
-
E.
Phebe Hospital
Phebe Hospital is a major regional medical center in Bong County, Liberia, providing essential healthcare services and medical training to the surrounding population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52768da9c8190add1db88bf2e16ea |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.