Triple
T26663079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coopersville & Marne Railway |
E666703
|
entity |
| Predicate | hasNonprofitAssociation |
P126976
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Coopersville & Marne Railway, hasNonprofitAssociation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonprofitAssociation Context triple: [Coopersville & Marne Railway, hasNonprofitAssociation, yes]
-
A.
hasNonprofitOrganization
Indicates that an entity is associated with or possesses a nonprofit organization, such as founding, owning, or formally operating it.
-
B.
nonProfitAffiliation
chosen
Indicates that an entity is formally associated with, supported by, or part of a nonprofit organization.
-
C.
isNonprofitPartnerOf
Indicates that one entity is a nonprofit organization that collaborates or partners with another entity in a formal or recognized capacity.
-
D.
nonprofitStatus
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
E.
hasNonprofitSteward
Indicates that an entity is overseen, managed, or cared for by a nonprofit organization acting as its steward.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 27, 2026, 2:37 a.m.