Triple

T15460383
Position Surface form Disambiguated ID Type / Status
Subject Compsognathus E371882 entity
Predicate fossilSite P14600 FINISHED
Object Bavaria, Germany E7752 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: Bavaria, Germany | Statement: [Compsognathus, fossilSite, Bavaria, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria, Germany
Context triple: [Compsognathus, fossilSite, Bavaria, Germany]
  • A. Bavaria chosen
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • B. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • C. Fürth, Bavaria, Germany
    Fürth is a historic city in the German state of Bavaria, now part of the Nuremberg metropolitan area and known for its rich cultural heritage and Jewish history.
  • D. Baden, Germany
    Baden, Germany is a historical region in southwestern Germany, formerly a grand duchy, known for its spa towns, wine-growing areas, and location along the Rhine.
  • E. Seeheim-Jugenheim, Germany
    Seeheim-Jugenheim is a municipality in the German state of Hesse, known for its scenic location on the Bergstraße and its historic villas and spa-town character.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4549074481908c12045632f11941 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:32 a.m.