Triple

T4418588
Position Surface form Disambiguated ID Type / Status
Subject Oberwallenstadt E95039 entity
Predicate locatedIn P40 FINISHED
Object Lichtenfels, Upper Franconia E251989 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: Lichtenfels, Upper Franconia | Statement: [Oberwallenstadt, locatedIn, Lichtenfels, Upper Franconia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lichtenfels, Upper Franconia
Context triple: [Oberwallenstadt, locatedIn, Lichtenfels, Upper Franconia]
  • A. Lichtenfels
    Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
  • B. Lichtenfels district chosen
    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. Lampoldshausen
    Lampoldshausen is a German village best known as a major site for rocket propulsion research and testing facilities of the German Aerospace Center.
  • D. Lauingen
    Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
  • E. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551e7c6c819090fa5dfb5ac58e4c completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613664c548190b5cd0c2667baecc7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.