Triple
T8531845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Catholic Eparchy of Baalbek-Deir El Ahmar |
E201969
|
entity |
| Predicate | hasFaithfulCategory |
P83175
|
FINISHED |
| Object | Eastern Catholic faithful |
—
|
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: Eastern Catholic faithful | Statement: [Maronite Catholic Eparchy of Baalbek-Deir El Ahmar, hasFaithfulCategory, Eastern Catholic faithful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaithfulCategory Context triple: [Maronite Catholic Eparchy of Baalbek-Deir El Ahmar, hasFaithfulCategory, Eastern Catholic faithful]
-
A.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
B.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
-
C.
categorifiedBy
Indicates that something is assigned to or placed within a specific category by another entity.
-
D.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
-
E.
servesFaithfulOf
Indicates that one entity performs services or acts in a ministering or supportive role for those who are faithful to another entity.
- F. None of above. chosen
Provenance (4 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:17 p.m.