Triple

T29153234
Position Surface form Disambiguated ID Type / Status
Subject Catholic Church in Lebanon E738966 entity
Predicate hasCommunity P2605 FINISHED
Object Latin Catholics in Lebanon
Latin Catholics in Lebanon are members of the Roman (Latin) Rite of the Catholic Church living in Lebanon, distinct from the various Eastern Catholic communities present in the country.
E738966 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: Latin Catholics in Lebanon | Statement: [Catholic Church in Lebanon, hasCommunity, Latin Catholics in Lebanon]
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: Latin Catholics in Lebanon
Triple: [Catholic Church in Lebanon, hasCommunity, Latin Catholics in Lebanon]
Generated description
Latin Catholics in Lebanon are members of the Roman (Latin) Rite of the Catholic Church living in Lebanon, distinct from the various Eastern Catholic communities present in the country.

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_69f07cb46f148190874eb8576a447567 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662a720a0819098baf8198786222a completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255068d91c8190843dbe0ef8d63f1c completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a2554b16b8481908ffb9447fb3f35a5 completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a2558e69dfc81908eea54a231ab38e7 completed June 7, 2026, 11:41 a.m.
Created at: April 28, 2026, 11:43 a.m.