Triple

T3835317
Position Surface form Disambiguated ID Type / Status
Subject Klosterlangheim E91116 entity
Predicate partOf P40 FINISHED
Object town 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 of Lichtenfels | Statement: [Klosterlangheim, partOf, town of Lichtenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Lichtenfels
Context triple: [Klosterlangheim, partOf, town 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. 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. 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.
  • E. Calenberger Neustadt
    Calenberger Neustadt is a historic inner-city district of Hanover, Germany, known for its mix of residential areas, cultural sites, and proximity to the city 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9a27508190b05e5312cc7c8033 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50402b2448190aef242c46bf0546d completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.