Triple
T7236500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Catholic Archeparchy of Beirut |
E155240
|
entity |
| Predicate | hasTypeOfHierarchy |
P16808
|
FINISHED |
| Object | episcopal 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: episcopal hierarchy | Statement: [Maronite Catholic Archeparchy of Beirut, hasTypeOfHierarchy, episcopal hierarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHierarchy Context triple: [Maronite Catholic Archeparchy of Beirut, hasTypeOfHierarchy, episcopal hierarchy]
-
A.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
-
B.
isPartOfHierarchyWith
Indicates that one entity occupies a defined position within an ordered or nested structure relative to another entity in the same hierarchy.
-
C.
hasTypeOfHeritage
Indicates that an entity is associated with a specific category or classification of heritage (such as cultural, natural, or historical heritage).
-
D.
typeOfAncestor
Indicates that one entity is an ancestor (of any generational distance) of another entity.
-
E.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:55 p.m.