Triple
T4400106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malabar Independent Syrian Church |
E93593
|
entity |
| Predicate | hasClericalHierarchy |
P3092
|
FINISHED |
| Object | bishops |
—
|
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: bishops | Statement: [Malabar Independent Syrian Church, hasClericalHierarchy, bishops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClericalHierarchy Context triple: [Malabar Independent Syrian Church, hasClericalHierarchy, bishops]
-
A.
hasClericalFunction
Indicates that an entity performs, is responsible for, or is associated with a clerical or administrative function.
-
B.
hasClergyType
chosen
Indicates the specific category or role of clergy associated with an entity.
-
C.
hasClericalProvince
Indicates that one ecclesiastical jurisdiction or entity is part of, or belongs to, a specific clerical (church) province.
-
D.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
E.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.