Triple

T2894911
Position Surface form Disambiguated ID Type / Status
Subject Lusatia E63913 entity
Predicate largestCities P11146 FINISHED
Object Cottbus E203175 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: Cottbus | Statement: [Lusatia, largestCities, Cottbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cottbus
Context triple: [Lusatia, largestCities, Cottbus]
  • A. Cottbus chosen
    Cottbus is a city in eastern Germany known as a regional center for science and technology, including aerospace research.
  • B. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • C. Chemnitz
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • D. Leipzig
    Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
  • E. Neustrelitz
    Neustrelitz is a town in northeastern Germany known for hosting a key research center of the German Aerospace Center (DLR), particularly focused on satellite data and space-related technologies.
  • 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: largestCities
Context triple: [Lusatia, largestCities, Cottbus]
  • A. largestCity
    Indicates that one city is the most populous or significant urban center within a specified region or entity.
  • B. isLargestCityIn
    Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
  • C. largestMetropolitanArea
    Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
  • D. citySigned
    Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
  • E. largestUrbanConcentrationIn chosen
    Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe06509808190b673222b9ae3d599 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69bb807d9c388190af594bce7f592d7d completed March 19, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69abdd17bcdc8190aa47274a50ba4ad4 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:07 p.m.