Triple
T29229327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kidane Mehret |
E741023
|
entity |
| Predicate | inspiredChurches |
P174287
|
FINISHED |
| Object | Kidane Mehret Church in Addis Ababa |
—
|
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: Kidane Mehret Church in Addis Ababa | Statement: [Kidane Mehret, inspiredChurches, Kidane Mehret Church in Addis Ababa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredChurches Context triple: [Kidane Mehret, inspiredChurches, Kidane Mehret Church in Addis Ababa]
-
A.
viewsOtherChurchesAs
Indicates that one entity regards or perceives other churches in a particular way or from a specific evaluative perspective.
-
B.
withinChurch
Indicates that one entity is located inside or contained within a church.
-
C.
countryChurch
Indicates a relationship where a church is located within, belongs to, or is officially associated with a particular country.
-
D.
cathedralChurch
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
-
E.
inspiredReligiousOrder
Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
- F. None of above. chosen
Provenance (4 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 12:18 p.m.