Triple
T27759132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Wing |
E701415
|
entity |
| Predicate | hasClinicalSupportServices |
P41839
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [East Wing, hasClinicalSupportServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClinicalSupportServices Context triple: [East Wing, hasClinicalSupportServices, yes]
-
A.
hasClinicalService
Indicates that an entity provides, offers, or is associated with a specific clinical service.
-
B.
hasSupportService
chosen
Indicates that one entity provides or is associated with a support-related service for another entity.
-
C.
hasHealthcareServicesIn
Indicates that a healthcare provider or organization offers or operates healthcare services within a specified location or area.
-
D.
hasAgencySupport
Indicates that an entity receives backing, assistance, or sponsorship from an agency.
-
E.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 4:25 p.m.