Triple

T9758084
Position Surface form Disambiguated ID Type / Status
Subject Fraunhofer Institute for Biomedical Engineering IBMT E236601 entity
Predicate locatedIn P40 FINISHED
Object Sankt Ingbert E327041 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: Sankt Ingbert | Statement: [Fraunhofer Institute for Biomedical Engineering IBMT, locatedIn, Sankt Ingbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sankt Ingbert
Context triple: [Fraunhofer Institute for Biomedical Engineering IBMT, locatedIn, Sankt Ingbert]
  • A. Sankt Ingbert chosen
    Sankt Ingbert is a town in the German state of Saarland, known historically for its coal and steel industries and its proximity to the French border.
  • B. Lorenzkirch
    Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
  • C. Landsberg am Lech
    Landsberg am Lech is a historic Bavarian town in southern Germany known for its medieval old town, picturesque setting on the Lech River, and its association with the nearby Landsberg Prison.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Alzey
    Alzey is a historic town in the Rhineland-Palatinate region of Germany, known as one of the Nibelungen cities and for its wine-growing tradition.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda047d0408190b91f7195513da6e8 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b035c32c8190ad65f3d57d53a317 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.