Triple

T5807738
Position Surface form Disambiguated ID Type / Status
Subject Franconia E128786 entity
Predicate contains P35 FINISHED
Object Neustadt an der Aisch E191320 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: Neustadt an der Aisch | Statement: [Franconia, contains, Neustadt an der Aisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neustadt an der Aisch
Context triple: [Franconia, contains, Neustadt an der Aisch]
  • A. Neustadt an der Aisch chosen
    Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
  • B. Neustadt an der Waldnaab
    Neustadt an der Waldnaab is a small town in northeastern Bavaria, Germany, known for its historic center and location along the Waldnaab River.
  • C. Neustadt
    Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
  • D. Neustadt
    Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
  • E. Neustadt bei Coburg
    Neustadt bei Coburg is a small town in northern Bavaria, Germany, known for its traditional toy-making industry and location near the Thuringian border.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b17417081908779741b9bfbb720 completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7a4eddc81908148e3428c69d654 completed March 29, 2026, 6:33 a.m.
Created at: March 22, 2026, 3:52 p.m.