Triple
T28608658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VSAM |
E724117
|
entity |
| Predicate | supportsRecordOrganization |
P203231
|
FINISHED |
| Object | fixed-length records |
—
|
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: fixed-length records | Statement: [VSAM, supportsRecordOrganization, fixed-length records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRecordOrganization Context triple: [VSAM, supportsRecordOrganization, fixed-length records]
-
A.
supportsOrganization
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
B.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
-
C.
supportsTypeOfOrganization
Indicates that one entity provides backing, assistance, or endorsement specifically to a certain category or type of organization.
-
D.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
E.
refersToOrganizationRecognizedBy
Indicates that one entity makes reference to an organization that has been formally identified or acknowledged by a relevant authority or system.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a013f09b0988190ba3179c7d56c726a |
completed | May 11, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_6a013e600e248190a1a9c363702c8586 |
completed | May 11, 2026, 2:26 a.m. |
| PDg | Predicate description generation | batch_6a013f08f77c8190b5305c1b700c4840 |
completed | May 11, 2026, 2:29 a.m. |
Created at: April 28, 2026, 4:29 a.m.