Triple

T17424188
Position Surface form Disambiguated ID Type / Status
Subject Crailsheim E423694 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Schwäbisch Hall district NE NERFINISHED

How this triple was built (3 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: Schwäbisch Hall district | Statement: [Crailsheim, locatedInAdministrativeEntity, Schwäbisch Hall district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwäbisch Hall district
Context triple: [Crailsheim, locatedInAdministrativeEntity, Schwäbisch Hall district]
  • A. Biberach district
    Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
  • B. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • C. Hechingen district
    Hechingen district was an administrative district within the former Prussian Province of Hohenzollern in southwestern Germany, centered around the town of Hechingen.
  • D. Rastatt district
    Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
  • E. Göppingen district
    Göppingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its mix of industrial towns and scenic Swabian Jura landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwäbisch Hall district
Target entity description: Schwäbisch Hall district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its historic towns and scenic landscapes.
  • A. Biberach district
    Biberach district is a rural administrative district in the state of Baden-Württemberg in southern Germany, known for its historic towns and location in the Upper Swabia region.
  • B. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • C. Hechingen district
    Hechingen district was an administrative district within the former Prussian Province of Hohenzollern in southwestern Germany, centered around the town of Hechingen.
  • D. Rastatt district
    Rastatt district is an administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, located near the Black Forest and the Upper Rhine.
  • E. Göppingen district
    Göppingen district is an administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its mix of industrial towns and scenic Swabian Jura landscapes.
  • F. None of above. chosen

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4423999ac81909fdbd8bcffcb30c9 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.