Triple
T26091389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockle Train |
E658132
|
entity |
| Predicate | operatedByVolunteers |
P138783
|
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: [Cockle Train, operatedByVolunteers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedByVolunteers Context triple: [Cockle Train, operatedByVolunteers, true]
-
A.
usesVolunteers
chosen
Indicates that an entity relies on or engages volunteers to perform its activities or services.
-
B.
hasVolunteerPersonnelFrom
Indicates that an entity receives or utilizes volunteer personnel supplied by another entity or source.
-
C.
volunteerLabel
Indicates that an entity is identified or tagged as a volunteer in relation to another entity or context.
-
D.
hasAdultVolunteers
Indicates that an entity is associated with one or more adult individuals who volunteer their time or services for it.
-
E.
volunteersFrom
Indicates that one entity serves as a volunteer originating from, or affiliated with, another entity (such as an organization, group, or location).
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 26, 2026, 7:47 p.m.