Triple
T32034685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Syriac Orthodox diaspora |
E818058
|
entity |
| Predicate | linkedToSee |
P37
|
FINISHED |
| Object | Moran Mor Ignatius Aphrem II |
—
|
NE NERFINISHED |
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: Moran Mor Ignatius Aphrem II | Statement: [Global Syriac Orthodox diaspora, linkedToSee, Moran Mor Ignatius Aphrem II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToSee Context triple: [Global Syriac Orthodox diaspora, linkedToSee, Moran Mor Ignatius Aphrem II]
-
A.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
B.
textLinkedTo
Indicates that one piece of text is connected or associated with another, such as through a hyperlink, reference, or explicit textual relation.
-
C.
linkedRight
Indicates that one entity is directly connected or positioned to the right of another entity in a sequence or structure.
-
D.
styleLinkedTo
Indicates a relationship where one style is associated with, derived from, or otherwise connected to another style.
-
E.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 1, 2026, 12:18 a.m.