Triple

T13974935
Position Surface form Disambiguated ID Type / Status
Subject Dillenburg Castle E336162 entity
Predicate hasPart P35 FINISHED
Object Wilhelmsturm E662449 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: Wilhelmsturm | Statement: [Dillenburg Castle, hasPart, Wilhelmsturm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmsturm
Context triple: [Dillenburg Castle, hasPart, Wilhelmsturm]
  • A. Wilhelmsturm chosen
    Wilhelmsturm is a historic hilltop tower and former castle keep in Dillenburg, Germany, commemorating William of Orange and serving as a prominent local landmark and museum.
  • B. Sturm
    Sturm is a German surname borne by numerous notable figures across fields such as mathematics, politics, and the arts.
  • C. Räuschling
    Räuschling is a traditional white grape variety from the Lake Zurich region of Switzerland, known for producing fresh, aromatic wines with lively acidity.
  • D. Gjallarhorn
    Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
  • E. Blautal
    Blautal is a scenic valley in Baden-Württemberg, Germany, shaped by the river Blau and known for its karst landscapes and picturesque towns.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8fd6d48190a157eae8df3a2f3a completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e1eb108190b3c0739b94556172 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.