Triple
T33034083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Lutheran Church in Bosnia and Herzegovina |
E845254
|
entity |
| Predicate | hasClericalCollarTradition |
P42772
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Evangelical Lutheran Church in Bosnia and Herzegovina, hasClericalCollarTradition, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClericalCollarTradition Context triple: [Evangelical Lutheran Church in Bosnia and Herzegovina, hasClericalCollarTradition, Yes]
-
A.
hasClericalVestments
chosen
Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
-
B.
hasClericalAssociation
Indicates a relationship in which an entity is connected to or involved with clerical roles, duties, or religious office.
-
C.
hasClericalDiscipline
Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
-
D.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
E.
hasClericalFunction
Indicates that an entity performs, is responsible for, or is associated with a clerical or administrative function.
- 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_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 1, 2026, 1:24 a.m.