Triple
T38268805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syro-Malankara Catholic exarchates |
E1021144
|
entity |
| Predicate | clergyCanBelongTo |
P17130
|
FINISHED |
| Object | religious institutes |
—
|
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: religious institutes | Statement: [Syro-Malankara Catholic exarchates, clergyCanBelongTo, religious institutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clergyCanBelongTo Context triple: [Syro-Malankara Catholic exarchates, clergyCanBelongTo, religious institutes]
-
A.
clergyMayBe
Indicates that an individual is permitted or eligible to serve in a clergy role.
-
B.
clergyCan
chosen
Indicates that members of the clergy are permitted or authorized to perform a specified action or exercise a particular role or function.
-
C.
memberOfClergy
Indicates that one entity serves in an official religious or clerical role within a religious organization or institution.
-
D.
clergySystem
Indicates a relationship in which an organized religious institution or tradition has a structured system of clergy roles, ranks, or offices.
-
E.
clergy
Indicates that an entity serves in an official religious or spiritual leadership role within an organized faith or religious institution.
- 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.