Triple

T2973828
Position Surface form Disambiguated ID Type / Status
Subject University of Breslau E80345 entity
Predicate cityFormerName P40182 FINISHED
Object Breslau E238097 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: Breslau | Statement: [University of Breslau, cityFormerName, Breslau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breslau
Context triple: [University of Breslau, cityFormerName, Breslau]
  • A. Breslau chosen
    Breslau is the historical German name for the city now known as Wrocław in southwestern Poland, a major cultural and academic center in Central Europe.
  • B. Oppeln
    Oppeln is the historical German name for the city of Opole, a major cultural and administrative center in southwestern Poland’s Silesia region.
  • C. Frankfurt (Oder)
    Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
  • D. Cieszyn
    Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
  • E. Dresden
    Dresden is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known historically for its role in the Underground Railroad and Black settlement.
  • 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: cityFormerName
Context triple: [University of Breslau, cityFormerName, Breslau]
  • A. cityThenKnownAs
    Indicates that an entity had a particular city name during a specified earlier time period, before it was renamed or became known by a different name.
  • B. cityPreviouslyLocatedIn
    Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
  • C. hasAssociatedCityFormerName chosen
    Indicates that an entity is linked to a city by referencing one of that city's former or historical names.
  • D. hasFormerStreetName
    Indicates that an entity (such as a street or place) was previously known by a different street name.
  • E. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b079a808190adcbac948ad067e9 completed March 12, 2026, 5:11 a.m.
PD Predicate disambiguation batch_69ad96105a708190a9ec4838cbcb1207 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:58 p.m.