Triple

T5851637
Position Surface form Disambiguated ID Type / Status
Subject Ingolstadt E130045 entity
Predicate universityMovedTo P39770 FINISHED
Object Landshut E302865 NE FINISHED

How this triple was built (3 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: Landshut | Statement: [Ingolstadt, universityMovedTo, Landshut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landshut
Context triple: [Ingolstadt, universityMovedTo, Landshut]
  • A. Landshut chosen
    Landshut is a historic Bavarian city in southeastern Germany known for its well-preserved medieval architecture and the landmark Trausnitz Castle.
  • B. Augsburg
    Augsburg is one of Germany’s oldest cities, a historic Bavarian center known for its rich Renaissance heritage and role as a major medieval trading hub.
  • C. Kempten
    Kempten is a historic town in Bavaria, Germany, considered one of the country’s oldest urban settlements and known for its location in the Allgäu region.
  • D. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • E. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: universityMovedTo
Context triple: [Ingolstadt, universityMovedTo, Landshut]
  • A. campusMovedTo chosen
    Indicates that the location of a campus has been relocated from one place to another.
  • B. movedToCurrentCampusYear
    Indicates the year in which an entity relocated to and began operating at its current campus.
  • C. universityRenamedWith
    Indicates that a university has changed its name to a new one, linking the original institution to its updated name.
  • D. universityLocatedIn
    Indicates that a university is situated within or associated with a specific geographic location or administrative region.
  • E. awayUniversity
    Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
  • F. None of above.

Provenance (4 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4d712008190aa25340e1feb0804 completed March 29, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69c03345ca0c819081c81148d054fed2 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:55 p.m.