Triple
T16761177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Center |
E407345
|
entity |
| Predicate | hasMedicalConsultant |
P40116
|
FINISHED |
| Object | physicians employed as advisors |
—
|
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: physicians employed as advisors | Statement: [Medical Center, hasMedicalConsultant, physicians employed as advisors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedicalConsultant Context triple: [Medical Center, hasMedicalConsultant, physicians employed as advisors]
-
A.
consultsOn
Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
-
B.
hasDoctorActor
Indicates that a doctor participates as an acting agent in the specified event or relationship.
-
C.
requiresConsultationWith
Indicates that performing an action or making a decision depends on first obtaining input, approval, or advice from a specified party.
-
D.
publicConsultationHeld
Indicates that a formal public consultation process has been conducted regarding a particular decision, policy, or project.
-
E.
hasHealthcareProvider
chosen
Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abed67f88190afb1d392ff01a5e7 |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.