Triple

T7464422
Position Surface form Disambiguated ID Type / Status
Subject Leer E176336 entity
Predicate hasTwinTown P919 FINISHED
Object Rennes-le-Château E256508 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 | Statement: [Leer, hasTwinTown, Rennes-le-Château]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rennes-le-Château
Context triple: [Leer, hasTwinTown, Rennes-le-Château]
  • A. Rennes-le-Château chosen
    Rennes-le-Château is a small village in southern France famed for its mysterious history, legends of hidden treasure, and association with esoteric and conspiracy theories.
  • B. Vieux-Château
    Vieux-Château is a historic medieval fortress located on the Île d’Yeu off the Atlantic coast of France.
  • C. Coligny
    Coligny is a prominent French noble family historically influential in politics and military affairs, particularly during the Wars of Religion.
  • D. Priory of Sion
    The Priory of Sion is a fictional secret society popularized by Dan Brown’s novel "The Da Vinci Code," where it is portrayed as an ancient brotherhood guarding hidden religious truths.
  • E. Count of Blois
    The Count of Blois was a medieval French noble title associated with the powerful lords who ruled the strategically important county of Blois in central France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d9d25c819087efc772b5b127fa completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8346adb3081908f049d8dcd623215 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:40 p.m.