Triple

T18707967
Position Surface form Disambiguated ID Type / Status
Subject Lordship of Kniphausen E457421 entity
Predicate namedAfter P63 FINISHED
Object Kniphausen 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: Kniphausen | Statement: [Lordship of Kniphausen, namedAfter, Kniphausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kniphausen
Context triple: [Lordship of Kniphausen, namedAfter, Kniphausen]
  • A. Kniphausen chosen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • B. Otzberg
    Otzberg is a small municipality in the German state of Hesse, known for its historic Veste Otzberg hilltop castle and rural surroundings.
  • C. Beckenstein
    Beckenstein is a surname most notably associated with Jay Beckenstein, the American saxophonist and co-founder of the jazz fusion band Spyro Gyra.
  • D. Weigert
    Weigert is a German-language surname borne by various notable individuals in fields such as science, sports, and the arts.
  • E. Beckstein
    Beckstein is a wine-producing village and district of the town Lauda-Königshofen in the Main-Tauber region of Baden-Württemberg, Germany.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56719383481909d68c9e873ca0800 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.