Triple

T17045953
Position Surface form Disambiguated ID Type / Status
Subject Mühlacker E413568 entity
Predicate locatedIn P40 FINISHED
Object Enzkreis E400067 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: Enzkreis | Statement: [Mühlacker, locatedIn, Enzkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enzkreis
Context triple: [Mühlacker, locatedIn, Enzkreis]
  • A. Enzkreis district chosen
    Enzkreis district is a rural administrative district in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Pforzheim.
  • B. 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.
  • C. Odenwaldkreis
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • D. Calw district
    Calw district is a rural administrative district in the northern Black Forest region of Baden-Württemberg, Germany, known for its forested landscapes, small towns, and spa resorts.
  • E. Kreis Gräfenhainichen
    Kreis Gräfenhainichen was a rural district in the former East German 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed472d48190bc6aed49464dc1ff completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.