Triple

T13531143
Position Surface form Disambiguated ID Type / Status
Subject Valkhof E323134 entity
Predicate namedAfter P63 FINISHED
Object Valkhof hill E83450 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: Valkhof hill | Statement: [Valkhof, namedAfter, Valkhof hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valkhof hill
Context triple: [Valkhof, namedAfter, Valkhof hill]
  • A. Hunerberg hill
    Hunerberg hill is a prominent elevation in Nijmegen, Netherlands, historically significant as a Roman military site and vantage point over the surrounding area.
  • B. Marienberg hill
    Marienberg hill is a prominent elevation overlooking Würzburg, Germany, best known as the site of the historic Marienberg Fortress.
  • C. Valkhof hill and ruins chosen
    Valkhof hill and ruins is a historic site in Nijmegen featuring remnants of a medieval fortress and earlier Roman fortifications overlooking the River Waal.
  • D. Calenberg hill
    Calenberg hill is a prominent elevation in Lower Saxony, Germany, historically significant as the site of the former Calenberg Castle and namesake of the surrounding region.
  • E. Valkhof
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.