Triple
T2662610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Archdiocese of Utrecht |
E54758
|
entity |
| Predicate | hasPastoralActivity |
P29079
|
FINISHED |
| Object | Evangelization in central Netherlands |
—
|
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: Evangelization in central Netherlands | Statement: [Roman Catholic Archdiocese of Utrecht, hasPastoralActivity, Evangelization in central Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPastoralActivity Context triple: [Roman Catholic Archdiocese of Utrecht, hasPastoralActivity, Evangelization in central Netherlands]
-
A.
pastoralActivities
chosen
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
B.
hasPastoralMission
Indicates that an entity is responsible for providing spiritual care, guidance, or religious leadership to a community or group.
-
C.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
-
D.
hasRanch
Indicates that one entity owns, operates, or is associated with a ranch.
-
E.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd969eff08190a206ad6424ba34d6 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.