Triple

T6870160
Position Surface form Disambiguated ID Type / Status
Subject Garching E158519 entity
Predicate officialName P66 FINISHED
Object Garching bei München E158519 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: Garching bei München | Statement: [Garching, officialName, Garching bei München]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garching bei München
Context triple: [Garching, officialName, Garching bei München]
  • A. Garching chosen
    Garching is a Bavarian town near Munich known as a major science and research hub, hosting numerous institutes and facilities including a large campus of the Technical University of Munich.
  • B. Fürstenfeldbruck
    Fürstenfeldbruck is a town in Upper Bavaria, Germany, known for its historic monastery, proximity to Munich, and nearby air base.
  • C. Martinsried
    Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
  • D. Gauting
    Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
  • E. Munich
    Munich is the capital and largest city of the German state of Bavaria, renowned for its rich cultural scene, historic architecture, and the annual Oktoberfest beer festival.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8aa47f48190bc7cad3cc652f530 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7511ada2481909491b8f9bd3ead91 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:22 p.m.