Triple
T24734303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Farm Credit System |
E618369
|
entity |
| Predicate | isGSE |
P157213
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Federal Farm Credit System, isGSE, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGSE Context triple: [Federal Farm Credit System, isGSE, true]
-
A.
isGSE
Indicates that something is a Gene Set Enrichment (GSE) entity or is associated with a gene set enrichment analysis result.
-
B.
isGSE
chosen
Indicates that one entity functions as a ground support equipment (GSE) resource used to support, service, or handle another entity, typically in an aerospace or aviation context.
-
C.
typeOfGSE
Indicates that one entity is classified as a specific type or category of Ground Support Equipment (GSE) in relation to another.
-
D.
isPer
Indicates that the subject entity is classified as a person.
-
E.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:03 a.m.