Triple

T34654317
Position Surface form Disambiguated ID Type / Status
Subject Bérenger Saunière E889930 entity
Predicate burialPlace P196 FINISHED
Object Rennes-le-Château cemetery
Rennes-le-Château cemetery is a small village graveyard in southern France best known as the burial site of priest Bérenger Saunière, central to numerous legends and conspiracy theories about hidden treasures and mysteries.
E2106465 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: Rennes-le-Château cemetery | Statement: [Bérenger Saunière, burialPlace, Rennes-le-Château cemetery]
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: Rennes-le-Château cemetery
Triple: [Bérenger Saunière, burialPlace, Rennes-le-Château cemetery]
Generated description
Rennes-le-Château cemetery is a small village graveyard in southern France best known as the burial site of priest Bérenger Saunière, central to numerous legends and conspiracy theories about hidden treasures and mysteries.

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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722c6859c8190a3e85fce0e8a342b completed May 3, 2026, 10:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748fb39888190be868de8cd794c4a completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a3749ba56f48190a61b653a4a0af817 completed June 21, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_6a374a3c4f248190873958f2f5f5f62e completed June 21, 2026, 2:19 a.m.
Created at: May 1, 2026, 2:04 a.m.