Triple
T17611458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mission of Saint Willehad |
E428974
|
entity |
| Predicate | religiousTargetGroup |
P6432
|
FINISHED |
| Object | Germanic pagans |
—
|
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: Germanic pagans | Statement: [mission of Saint Willehad, religiousTargetGroup, Germanic pagans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTargetGroup Context triple: [mission of Saint Willehad, religiousTargetGroup, Germanic pagans]
-
A.
religiousTarget
chosen
Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
-
B.
religiousGroupMentioned
Indicates that a religious group is referenced or mentioned in the given context or statement.
-
C.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
D.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
E.
religiousGroupsPresent
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2dfa688190a0b9b396bb6133cc |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.