Triple

T15981584
Position Surface form Disambiguated ID Type / Status
Subject Uhrturm E387588 entity
Predicate locatedOn P40 FINISHED
Object Schlossberg hill E387587 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: Schlossberg hill | Statement: [Uhrturm, locatedOn, Schlossberg hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schlossberg hill
Context triple: [Uhrturm, locatedOn, Schlossberg hill]
  • A. Schlossberg hill
    Schlossberg hill is a prominent wooded elevation overlooking the town of Forbach in Germany’s Black Forest region, known for its scenic views and hiking opportunities.
  • B. Bärenstein hill
    Bärenstein hill is a prominent natural elevation near Plauen in Saxony, Germany, known for its scenic views over the surrounding Vogtland landscape.
  • C. Schlossberg
    Schlossberg is a surname of German origin borne by various notable individuals, including members of the Kennedy family such as Rose Schlossberg.
  • D. Schlossberg chosen
    Schlossberg is a historic hill in Graz, Austria, known for its fortress ruins, iconic clock tower, and panoramic views over the city.
  • E. Humberg hill
    Humberg hill is a wooded elevation near Kaiserslautern, Germany, known as a local recreation area crowned by the historic Humberg Tower.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1abad48190a42510605c30d0b3 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.