Triple

T13233794
Position Surface form Disambiguated ID Type / Status
Subject Robert Huber E315090 entity
Predicate workLocation P7 FINISHED
Object Martinsried E534329 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: Martinsried | Statement: [Robert Huber, workLocation, Martinsried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martinsried
Context triple: [Robert Huber, workLocation, Martinsried]
  • A. Martinsried chosen
    Martinsried is a village near Munich, Germany, known as a major hub for life sciences and biotechnology research.
  • B. Oberschleißheim
    Oberschleißheim is a municipality near Munich in Bavaria, Germany, best known for its grand baroque Schleißheim Palace complex and surrounding historic parklands.
  • C. 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.
  • D. Gräfelfing
    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.
  • E. Neubiberg
    Neubiberg is a municipality in the Munich district of Bavaria, Germany, known for its residential character and proximity to the Bavarian capital.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2dca2c81909cab1aa868ad575d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.