Triple
T26099745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo churches programme |
E658363
|
entity |
| Predicate | coordinateActivity |
P42043
|
FINISHED |
| Object | parish ministry |
—
|
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: parish ministry | Statement: [Waterloo churches programme, coordinateActivity, parish ministry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateActivity Context triple: [Waterloo churches programme, coordinateActivity, parish ministry]
-
A.
coordinatesActivitiesOf
chosen
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
B.
coordinateEvent
Indicates overseeing and organizing the planning, logistics, and execution of an event in collaboration with involved parties.
-
C.
coOrganizer
Indicates a relationship where an entity jointly organizes an event, activity, or project together with one or more other organizers.
-
D.
associatedActivity
Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
-
E.
exportActivity
Indicates an action where goods, services, or data are sent out from one entity or region to another for trade or distribution across borders.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 26, 2026, 7:54 p.m.