Triple

T17103944
Position Surface form Disambiguated ID Type / Status
Subject Diez E415049 entity
Predicate hasLandmark P105 FINISHED
Object Diez Castle NE NERFINISHED

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: Diez Castle | Statement: [Diez, hasLandmark, Diez Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diez Castle
Context triple: [Diez, hasLandmark, Diez Castle]
  • A. Diez Castle chosen
    Diez Castle is a medieval hilltop fortress in Diez, Germany, known for its well-preserved architecture and panoramic views over the Lahn River valley.
  • B. Tous Castle
    Tous Castle is a historic medieval fortress located in Sant Martí de Tous, in Catalonia, Spain.
  • C. Dundas Castle
    Dundas Castle is a historic Scottish baronial mansion near South Queensferry, now used primarily as an exclusive venue for weddings and events.
  • D. Moura Castle
    Moura Castle is a historic medieval fortress located in the town of Moura in Portugal, known for its defensive walls and strategic role in the region’s history.
  • E. Penela Castle
    Penela Castle is a medieval hilltop fortress in central Portugal, notable for its well-preserved walls and panoramic views over the town of Penela.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.