Triple
T844847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orthodox Church of Jerusalem |
E18254
|
entity |
| Predicate | hasClergyEthnicity |
P12220
|
FINISHED |
| Object | predominantly Greek hierarchy |
—
|
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: predominantly Greek hierarchy | Statement: [Orthodox Church of Jerusalem, hasClergyEthnicity, predominantly Greek hierarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClergyEthnicity Context triple: [Orthodox Church of Jerusalem, hasClergyEthnicity, predominantly Greek hierarchy]
-
A.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
B.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
C.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
D.
clergyCan
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
-
E.
involvedEthnicGroup
chosen
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac09249c8190a8099b94a3c9e2cc |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.