Triple
T844838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orthodox Church of Jerusalem |
E18254
|
entity |
| Predicate | usesChristology |
P5493
|
FINISHED |
| Object | Chalcedonian |
—
|
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: Chalcedonian | Statement: [Orthodox Church of Jerusalem, usesChristology, Chalcedonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesChristology Context triple: [Orthodox Church of Jerusalem, usesChristology, Chalcedonian]
-
A.
regardsJesusAs
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
B.
theologicalFocus
Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
-
C.
theologicallyContrastedWith
Indicates that two entities are set in opposition or compared as differing in theological beliefs, doctrines, or interpretations.
-
D.
theologicalCategory
chosen
Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
-
E.
theologicalContext
Indicates the religious or doctrinal framework, tradition, or set of beliefs within which something (such as a text, event, or concept) is interpreted or understood.
- 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.