Triple

T15875760
Position Surface form Disambiguated ID Type / Status
Subject Kocher E384948 entity
Predicate passesThrough P225 FINISHED
Object Hohenlohekreis E873631 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: Hohenlohekreis | Statement: [Kocher, passesThrough, Hohenlohekreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohenlohekreis
Context triple: [Kocher, passesThrough, Hohenlohekreis]
  • A. Zollernalbkreis
    Zollernalbkreis is a rural district in the state of Baden-Württemberg in southwestern Germany, known for its location in the Swabian Jura (Schwäbische Alb) region.
  • B. Vogelsbergkreis
    Vogelsbergkreis is a rural district in the German state of Hesse, known for encompassing much of the Vogelsberg volcanic mountain range and its largely agricultural, small-town landscape.
  • C. Wartburgkreis
    Wartburgkreis is a rural district in the western part of the German state of Thuringia, known for encompassing the historic Wartburg Castle near Eisenach.
  • D. Kreis Gotha
    Kreis Gotha was a rural administrative district in the former East German state structure, centered around the town of Gotha in the Bezirk Erfurt.
  • E. Hohenlohe region chosen
    The Hohenlohe region is a rural area in the German state of Baden-Württemberg, known for its rolling landscapes, historic towns, and strong agricultural and food-producing industries.
  • 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_69ffb041adac8190a8e6e5c646fdedf3 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.