Triple
T8453813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danbury Hospital |
E199867
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Danbury Hospital |
E199867
|
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: Danbury Hospital | Statement: [Danbury Hospital, name, Danbury Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danbury Hospital Context triple: [Danbury Hospital, name, Danbury Hospital]
-
A.
Danbury Hospital
chosen
Danbury Hospital is a regional acute-care medical center serving patients in and around Danbury, Connecticut.
-
B.
Waterbury Hospital
Waterbury Hospital is a community-based acute care hospital serving the city of Waterbury, Connecticut and the surrounding region.
-
C.
Stamford Hospital
Stamford Hospital was a former healthcare facility in the Tameside area of Greater Manchester, England, that was eventually superseded by the larger Tameside General Hospital.
-
D.
Bridgeport Hospital
Bridgeport Hospital is a major acute-care teaching hospital in Bridgeport, Connecticut, providing a wide range of medical and surgical services to the region.
-
E.
Milford Hospital
Milford Hospital is a local medical facility providing healthcare services to the community of Milford.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48aee388190864ef1186d5ee419 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dda289c81908e0cc8e1a504caa1 |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.