Triple

T7994792
Position Surface form Disambiguated ID Type / Status
Subject Puma corporate campus E186096 entity
Predicate locatedIn P40 FINISHED
Object Herzogenaurach E614782 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: Herzogenaurach | Statement: [Puma corporate campus, locatedIn, Herzogenaurach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herzogenaurach
Context triple: [Puma corporate campus, locatedIn, Herzogenaurach]
  • A. Herzogenaurach chosen
    Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
  • B. Grafenrheinfeld
    Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
  • C. Wolfratshausen
    Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Lauingen
    Lauingen is a historic Bavarian town in southern Germany, best known as the birthplace of the medieval scholar and philosopher Albert the Great.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde6dc7b248190b59187a80b4fe036 completed April 2, 2026, 3:47 a.m.
Created at: March 30, 2026, 5:17 p.m.