Triple

T28180867
Position Surface form Disambiguated ID Type / Status
Subject Antelias E716021 entity
Predicate hasChurch P15000 FINISHED
Object Maronite churches
Maronite churches are Eastern Catholic churches of the Maronite rite, centered primarily in Lebanon and characterized by their Syriac liturgy and communion with the Roman Catholic Church.
E35962 NE 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: Maronite churches | Statement: [Antelias, hasChurch, Maronite churches]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maronite churches
Triple: [Antelias, hasChurch, Maronite churches]
Generated description
Maronite churches are Eastern Catholic churches of the Maronite rite, centered primarily in Lebanon and characterized by their Syriac liturgy and communion with the Roman Catholic Church.

Provenance (5 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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6428248148190874e438d8d874d0b completed May 2, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f4220448190920ea22955f0dba0 completed June 7, 2026, 7:35 a.m.
NEDg Description generation batch_6a25242352f08190805e663c6bb680cc completed June 7, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_6a2527e117c88190989c7965f5d99f87 completed June 7, 2026, 8:12 a.m.
Created at: April 27, 2026, 10:19 p.m.