Triple

T13861810
Position Surface form Disambiguated ID Type / Status
Subject Würm E333214 entity
Predicate flowsThrough P225 FINISHED
Object Gräfelfing E987412 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: Gräfelfing | Statement: [Würm, flowsThrough, Gräfelfing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gräfelfing
Context triple: [Würm, flowsThrough, Gräfelfing]
  • A. Gräfelfing chosen
    Gräfelfing is a municipality in the district of Munich in Bavaria, Germany, known as a residential suburb located just west of the city of Munich.
  • B. Germering
    Germering is a town in Upper Bavaria, Germany, located just west of Munich and known as a residential and commuter suburb of the Munich metropolitan area.
  • C. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • D. Unterhaching
    Unterhaching is a municipality in Bavaria, Germany, located just south of Munich and known for its residential character and local football club, SpVgg Unterhaching.
  • E. Fürstenried
    Fürstenried is a residential district in the southwest of Munich, Germany, known for its post-war housing estates and proximity to green spaces and the Fürstenried Palace.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.