Triple
T5881386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vet Centers |
E130755
|
entity |
| Predicate | hasOutreachComponent |
P67233
|
FINISHED |
| Object | mobile Vet Centers |
—
|
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: mobile Vet Centers | Statement: [Vet Centers, hasOutreachComponent, mobile Vet Centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutreachComponent Context triple: [Vet Centers, hasOutreachComponent, mobile Vet Centers]
-
A.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
B.
hasAlumniNetwork
Indicates that an entity maintains or is associated with an organized network or community of its former members or graduates.
-
C.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
D.
hasApproachChannel
Indicates that one entity provides or is associated with a designated approach channel used for access, navigation, or entry to another entity.
-
E.
hasAlumniInvolvement
Indicates that an entity maintains an ongoing relationship or engagement with its former members or graduates.
- F. None of above. chosen
Provenance (4 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:57 p.m.