Triple
T32963895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omer of Thérouanne |
E843315
|
entity |
| Predicate | regionOfEvangelization |
P20194
|
FINISHED |
| Object | Morini territory |
—
|
NE NERFINISHED |
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: Morini territory | Statement: [Omer of Thérouanne, regionOfEvangelization, Morini territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfEvangelization Context triple: [Omer of Thérouanne, regionOfEvangelization, Morini territory]
-
A.
missionaryRegion
chosen
Indicates that an entity carries out or is associated with missionary activities within a specified geographic region.
-
B.
primaryLanguageOfEvangelization
Indicates the language primarily used to communicate and spread religious teachings or evangelistic messages to a target audience.
-
C.
placeOfEvangelisticActivity
Indicates the location where evangelistic or missionary activities are carried out.
-
D.
devotionalRegion
Indicates the geographic area or region in which a particular devotional practice, cult, or form of worship is observed or centered.
-
E.
hasEvangelizationFocus
Indicates that an entity is oriented toward or primarily concerned with evangelization activities or objectives.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:21 a.m.