Triple

T19492518
Position Surface form Disambiguated ID Type / Status
Subject Singen (Hohentwiel) E487686 entity
Predicate hasLandmark P105 FINISHED
Object Hohentwiel NE NERFINISHED

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: Hohentwiel | Statement: [Singen (Hohentwiel), hasLandmark, Hohentwiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohentwiel
Context triple: [Singen (Hohentwiel), hasLandmark, Hohentwiel]
  • A. Hohentwiel chosen
    Hohentwiel is an extinct volcanic hill in southwestern Germany crowned by one of the country’s largest fortress ruins, overlooking the town of Singen near Lake Constance.
  • B. Hohen Viecheln
    Hohen Viecheln is a small municipality in the Mecklenburg-Vorpommern region of northern Germany, situated on the shores of Lake Schwerin.
  • C. Schäßburg
    Schäßburg is the German name for Sighișoara, a well-preserved medieval fortified town in Transylvania, Romania, renowned for its historic architecture and UNESCO-listed old town.
  • 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. Hünenberg
    Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348f4d708190a6e612863fee4b97 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.