Triple

T14723747
Position Surface form Disambiguated ID Type / Status
Subject Erbach, Hesse E345881 entity
Predicate locatedIn P40 FINISHED
Object Odenwaldkreis E438629 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: Odenwaldkreis | Statement: [Erbach, Hesse, locatedIn, Odenwaldkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odenwaldkreis
Context triple: [Erbach, Hesse, locatedIn, Odenwaldkreis]
  • A. Odenwaldkreis chosen
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • B. Rheingau-Taunus-Kreis
    Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
  • C. Neckar-Odenwald-Kreis
    Neckar-Odenwald-Kreis is a rural district in the German state of Baden-Württemberg, known for its forested landscapes, historic towns, and location along the Neckar River.
  • D. Westerwaldkreis
    Westerwaldkreis is a rural district in the German state of Rhineland-Palatinate, known for its forested low mountain landscape and traditional ceramics industry.
  • E. Rhein-Sieg-Kreis
    Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.