Triple

T4652783
Position Surface form Disambiguated ID Type / Status
Subject Stetten E102334 entity
Predicate hasGoverningBody P760 FINISHED
Object Town council of Lichtenfels E11679 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: Town council of Lichtenfels | Statement: [Stetten, hasGoverningBody, Town council of Lichtenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town council of Lichtenfels
Context triple: [Stetten, hasGoverningBody, Town council of Lichtenfels]
  • A. Lichtenfels chosen
    Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
  • B. Lichtenfels district
    Lichtenfels district is a rural administrative district in the Bavarian region of Upper Franconia in Germany, known for its historic towns and traditional basket-weaving industry.
  • C. County of Erbach
    The County of Erbach was a small territorial state of the Holy Roman Empire in what is now southwestern Germany, historically ruled by the Counts of Erbach.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Lampoldshausen
    Lampoldshausen is a German village best known as a major site for rocket propulsion research and testing facilities of the German Aerospace Center.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaeb1ee081909ef641953bdf8df3 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.