Triple

T26368885
Position Surface form Disambiguated ID Type / Status
Subject Rochechouart E660717 entity
Predicate hasLandmark P105 FINISHED
Object Église Saint-Sauveur de Rochechouart
Église Saint-Sauveur de Rochechouart is a historic Catholic church in the town of Rochechouart in southwestern France, noted for its traditional architecture and local religious significance.
E1721633 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-Sauveur de Rochechouart | Statement: [Rochechouart, hasLandmark, Église Saint-Sauveur de Rochechouart]
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-Sauveur de Rochechouart
Triple: [Rochechouart, hasLandmark, Église Saint-Sauveur de Rochechouart]
Generated description
Église Saint-Sauveur de Rochechouart is a historic Catholic church in the town of Rochechouart in southwestern France, noted for its traditional architecture and local religious significance.

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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6102dfc848190a94d1ef0f3c9e04e completed May 2, 2026, 2:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a715dd88190af87cfd90fa3f2c1 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119bbc54dc81908eac09f455b4c32a completed May 23, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a119c8b70c081908712fdefe5c7a147 completed May 23, 2026, 12:24 p.m.
Created at: April 26, 2026, 10:57 p.m.