Triple
T24734220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farm Credit Banks |
E618367
|
entity |
| Predicate | serveRegion |
P30177
|
FINISHED |
| Object | multi-state territories |
—
|
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: multi-state territories | Statement: [Farm Credit Banks, serveRegion, multi-state territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serveRegion Context triple: [Farm Credit Banks, serveRegion, multi-state territories]
-
A.
serviceRegion
chosen
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
-
B.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
C.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
D.
exportRegion
Indicates the region or geographic area from which goods, services, or resources are exported.
-
E.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
- 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_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 4:03 a.m.