Triple
T9633035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZSFG |
E232851
|
entity |
| Predicate | cityHospitalRole |
P37248
|
FINISHED |
| Object | primary public hospital for San Francisco |
—
|
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: primary public hospital for San Francisco | Statement: [ZSFG, cityHospitalRole, primary public hospital for San Francisco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityHospitalRole Context triple: [ZSFG, cityHospitalRole, primary public hospital for San Francisco]
-
A.
hospitalFunction
Indicates the specific medical or administrative role, service, or operational purpose that a hospital performs.
-
B.
clinicalRole
Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
-
C.
majorHospital
chosen
Indicates that a hospital holds a primary or leading status within a healthcare system or region, typically due to its size, capacity, or range of services.
-
D.
chiefMedicalOfficer
Indicates that one entity serves as the highest-ranking medical authority or head of medical operations for the other entity.
-
E.
associatedHealthAuthorityPosition
Indicates that a given entity is linked to, or holds, a specific position or role within a health authority organization.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.