Triple

T16273690
Position Surface form Disambiguated ID Type / Status
Subject Château de Valère E395068 entity
Predicate hasPart P35 FINISHED
Object Valère Castle E92445 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: Valère Castle | Statement: [Château de Valère, hasPart, Valère Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valère Castle
Context triple: [Château de Valère, hasPart, Valère Castle]
  • A. Valère Castle chosen
    Valère Castle is a historic fortified complex overlooking the town of Sion in the Swiss canton of Valais, notable for its medieval architecture and hilltop basilica.
  • B. Hautefort Castle
    Hautefort Castle is a grand historic château in southwestern France, renowned for its elegant classical architecture and formal gardens.
  • C. Estergon Castle
    Estergon Castle is a cultural and historical complex in Ankara, Turkey, designed in the style of a medieval Hungarian fortress and used as a museum and event venue.
  • D. Red Castle fortress
    Red Castle fortress is a historic coastal stronghold in Tripoli, Libya, notable for its distinctive red walls and its role as a major landmark and cultural heritage site.
  • E. Windeck Castle
    Windeck Castle is a medieval hilltop castle ruin overlooking the town of Weinheim in southwestern Germany.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.