Triple

T2941585
Position Surface form Disambiguated ID Type / Status
Subject German Central Uplands E79398 entity
Predicate highestPoint P210 FINISHED
Object Feldberg (Black Forest) E89914 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: Feldberg (Black Forest) | Statement: [German Central Uplands, highestPoint, Feldberg (Black Forest)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feldberg (Black Forest)
Context triple: [German Central Uplands, highestPoint, Feldberg (Black Forest)]
  • A. Feldberg chosen
    Feldberg is the tallest mountain in Germany’s Black Forest region, known for its scenic landscapes and popular hiking and skiing opportunities.
  • B. Großer Feldberg
    Großer Feldberg is a prominent mountain in Hesse, Germany, known for its scenic views, hiking trails, and telecommunications facilities.
  • C. Wachtberg
    Wachtberg is a municipality in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its scenic location near Bonn and the Siebengebirge hills.
  • D. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • E. Aegidienberg
    Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08689ec3481909d9f039069ff19c7 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.