Triple

T11109188
Position Surface form Disambiguated ID Type / Status
Subject Eparchy of Lugoj E262709 entity
Predicate typeOfFaithfulServed P37691 FINISHED
Object Romanian Greek 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: Romanian Greek Catholic faithful | Statement: [Eparchy of Lugoj, typeOfFaithfulServed, Romanian Greek Catholic faithful]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfFaithfulServed
Context triple: [Eparchy of Lugoj, typeOfFaithfulServed, Romanian Greek Catholic faithful]
  • A. servesFaithfulOf chosen
    Indicates that one entity performs services or acts in a ministering or supportive role for those who are faithful to another entity.
  • B. isTypicallyServedFor
    Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
  • C. typeOfAssemblyServed
    Indicates the specific type or category of assembly that is being served or catered to by an entity or action.
  • D. servesType
    Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
  • E. servingStyle
    Indicates how something (typically food or drink) is presented or offered for consumption or use.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6896c0819082685b5b4600d158 completed April 9, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69d7441cf8188190b8095f622c923156 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.