Triple

T8778390
Position Surface form Disambiguated ID Type / Status
Subject Lichterfelde E208659 entity
Predicate borderedBy P224 FINISHED
Object Teltow E632875 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: Teltow | Statement: [Lichterfelde, borderedBy, Teltow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teltow
Context triple: [Lichterfelde, borderedBy, Teltow]
  • A. Teltow chosen
    Teltow is a town in the German state of Brandenburg, located just southwest of Berlin and known for its historical core and proximity to the capital.
  • B. Müritz
    Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
  • C. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Uckersee
    Uckersee is a lake in northeastern Germany’s Uckermark region, known for its natural landscapes and recreational activities such as boating and fishing.
  • E. Britz-Chorin-Oderberg
    Britz-Chorin-Oderberg is a municipality in the Barnim district of Brandenburg, Germany, known for its rural landscape and proximity to the Oder River and Polish border.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f531bd481909d877dadf9b6e9fb completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f33ca1081908d65d14c83199c5a completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:42 p.m.