Triple

T37774384
Position Surface form Disambiguated ID Type / Status
Subject Church of Saint-Pierre (Ribemont) E941643 entity
Predicate hasNameInFrench P6538 FINISHED
Object Église Saint-Pierre de Ribemont
Église Saint-Pierre de Ribemont is a historic Catholic church in the town of Ribemont in northern France, notable for its traditional architecture and local religious heritage.
E2242087 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: Église Saint-Pierre de Ribemont | Statement: [Church of Saint-Pierre (Ribemont), hasNameInFrench, Église Saint-Pierre de Ribemont]
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: Église Saint-Pierre de Ribemont
Triple: [Church of Saint-Pierre (Ribemont), hasNameInFrench, Église Saint-Pierre de Ribemont]
Generated description
Église Saint-Pierre de Ribemont is a historic Catholic church in the town of Ribemont in northern France, notable for its traditional architecture and local religious heritage.

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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbaf20395c81909ad63b18b1007f1b completed May 6, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40e08d9d148190b0725e62e05e2f03 completed June 28, 2026, 8:51 a.m.
NEDg Description generation batch_6a40e12996ec8190955a5b3c357027c6 completed June 28, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_6a40e4872fa48190b7a5e2b0497e01cf completed June 28, 2026, 9:08 a.m.
Created at: May 3, 2026, 4:19 p.m.