Triple
T28472966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangli-Miraj-Kupwad metropolitan area |
E720484
|
entity |
| Predicate | healthcareFacilities |
P10262
|
FINISHED |
| Object | multi-speciality hospitals |
—
|
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: multi-speciality hospitals | Statement: [Sangli-Miraj-Kupwad metropolitan area, healthcareFacilities, multi-speciality hospitals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthcareFacilities Context triple: [Sangli-Miraj-Kupwad metropolitan area, healthcareFacilities, multi-speciality hospitals]
-
A.
hospitalLocation
Indicates the geographic place or address where a hospital is situated.
-
B.
designatedAsFlagshipHospitalFor
Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
-
C.
healthSystem
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
D.
hasMedicalCenter
chosen
Indicates that an entity possesses, hosts, or is associated with a medical center facility.
-
E.
healthServiceProvider
Indicates that one entity provides health-related services or care to another entity.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee36c748190aeccf2ca67ea86c1 |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 2:50 a.m.