Triple
T22361206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VA community-based outpatient clinic |
E552781
|
entity |
| Predicate | refersPatientsTo |
P125012
|
FINISHED |
| Object | VA medical centers for higher-level care |
—
|
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: VA medical centers for higher-level care | Statement: [VA community-based outpatient clinic, refersPatientsTo, VA medical centers for higher-level care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersPatientsTo Context triple: [VA community-based outpatient clinic, refersPatientsTo, VA medical centers for higher-level care]
-
A.
receivesReferralsFrom
Indicates that one entity is the recipient of referrals that originate from another entity.
-
B.
referredTo
Indicates that one entity has mentioned, directed attention to, or cited another entity as a point of reference.
-
C.
referralChapter
Indicates that one chapter refers, directs, or points the reader to another chapter for related or continued content.
-
D.
referralRelationship
chosen
Indicates a relationship in which one entity directs or recommends another entity to a third party for services, information, or further action.
-
E.
relationshipWithDoctorParnassus
Indicates that an entity has a personal or professional relationship with Doctor Parnassus.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d44a908190b16e4cfdf4591b10 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.