Triple

T15875758
Position Surface form Disambiguated ID Type / Status
Subject Kocher E384948 entity
Predicate passesThrough P225 FINISHED
Object Ostalbkreis E485080 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: Ostalbkreis | Statement: [Kocher, passesThrough, Ostalbkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostalbkreis
Context triple: [Kocher, passesThrough, Ostalbkreis]
  • A. Ostalbkreis chosen
    Ostalbkreis is a rural district in the eastern part of Baden-Württemberg, Germany, known for its Swabian Alb landscapes and historic towns such as Aalen and Ellwangen.
  • B. Kreis Sebnitz
    Kreis Sebnitz was a former rural district in the German Democratic Republic, located in the Bezirk Dresden region of Saxony and centered around the town of Sebnitz.
  • C. Vogtlandkreis
    Vogtlandkreis is a rural district in the Free State of Saxony in eastern Germany, known for its hilly Vogtland landscape and the town of Plauen as its largest city.
  • D. Kreis Köthen
    Kreis Köthen was a former rural district in the German Democratic Republic, located within the administrative region of Bezirk Halle.
  • E. Kreis Merseburg
    Kreis Merseburg was a former rural district in the German Democratic Republic, located within the administrative region of Bezirk Halle.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fcffbc8190ba6d133107b83a7f completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000777c6a08190a4deed9952179be5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:51 a.m.