Triple

T14734328
Position Surface form Disambiguated ID Type / Status
Subject Valkhof Park E346162 entity
Predicate hasLandmark P105 FINISHED
Object Barbarossa ruins E323133 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: Barbarossa ruins | Statement: [Valkhof Park, hasLandmark, Barbarossa ruins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbarossa ruins
Context triple: [Valkhof Park, hasLandmark, Barbarossa ruins]
  • A. Barbarossa ruins chosen
    The Barbarossa ruins are the remains of a medieval imperial palace in Nijmegen, Netherlands, traditionally associated with Emperor Frederick Barbarossa.
  • B. Hellenstein ruins
    The Hellenstein ruins are the remains of a historic hilltop castle complex overlooking Heidenheim an der Brenz in southern Germany.
  • C. Hadamar Castle
    Hadamar Castle is a historic Renaissance-style palace in Hadamar, Germany, known for its architectural significance and role in the region’s noble and cultural history.
  • D. Sich fortress
    Sich fortress was the fortified stronghold and administrative-military center of the Zaporizhian Cossacks in what is now Ukraine.
  • E. Blaserturm
    Blaserturm is a historic medieval watch and bell tower that serves as one of the most recognizable symbols of the German city of Ravensburg.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8bcc188190901e3f692fd8fbf9 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.