Triple

T21393818
Position Surface form Disambiguated ID Type / Status
Subject Metzingen E527727 entity
Predicate locatedNear P294 FINISHED
Object Reutlingen NE NERFINISHED

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: Reutlingen | Statement: [Metzingen, locatedNear, Reutlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reutlingen
Context triple: [Metzingen, locatedNear, Reutlingen]
  • A. Reutlingen chosen
    Reutlingen is a city in southwestern Germany known for its location at the foot of the Swabian Jura and its well-preserved medieval old town.
  • B. Nürtingen
    Nürtingen is a historic town in the German state of Baden-Württemberg, situated on the Neckar River and known for its picturesque old town and regional economic significance.
  • C. Tuttlingen
    Tuttlingen is a town in the state of Baden-Württemberg in southern Germany, known as a major center of the medical technology and surgical instrument industry.
  • D. Ittlingen
    Ittlingen is a small municipality in the German state of Baden-Württemberg, located within the Heilbronn region.
  • E. Rottweil
    Rottweil is a historic town in southwestern Germany known for its medieval architecture and as the namesake of the Rottweiler dog breed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.