Triple
T30694592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grantham Canal Society |
E781421
|
entity |
| Predicate | hasVolunteerBasedStructure |
P5502
|
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: [Grantham Canal Society, hasVolunteerBasedStructure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolunteerBasedStructure Context triple: [Grantham Canal Society, hasVolunteerBasedStructure, true]
-
A.
hasVolunteerBase
chosen
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
-
B.
hasVolunteerBaseIn
Indicates that an organization maintains a core group of volunteers located in a specified place or region.
-
C.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
-
D.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
E.
hasVolunteerCount
Indicates the number of volunteers associated with a particular entity or activity.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 8:33 p.m.