Triple

T782820
Position Surface form Disambiguated ID Type / Status
Subject Electorate of Cologne E16534 entity
Predicate seatOfElector P19569 FINISHED
Object Cologne E35950 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: Cologne | Statement: [Electorate of Cologne, seatOfElector, Cologne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cologne
Context triple: [Electorate of Cologne, seatOfElector, Cologne]
  • A. Cologne chosen
    Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
  • B. Düsseldorf
    Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
  • C. Koblenz
    Koblenz is a historic German city in Rhineland-Palatinate, known for its strategic location at the confluence of the Rhine and Moselle rivers and its well-preserved fortresses and old town.
  • D. Wuppertal
    Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
  • E. Mannheim
    Mannheim is a major city in southwestern Germany, known as an important industrial, commercial, and cultural center at the confluence of the Rhine and Neckar rivers.
  • 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: seatOfElector
Context triple: [Electorate of Cologne, seatOfElector, Cologne]
  • A. numberOfElectors
    Indicates the total count of electors associated with a given entity or context.
  • B. hasElectoralVotes
    Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
  • C. numberOfRepresentatives
    Indicates the quantity of representatives associated with a given entity or unit.
  • D. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • E. electorate
    Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
  • F. None of above. chosen

Provenance (5 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7686d0881908c2a4395059be02c completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69af5ca0ede48190b2c45761a3f92517 completed March 9, 2026, 11:49 p.m.
PD Predicate disambiguation batch_69a4a50db97c8190a1c55673f4a357b4 completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a67e69288190b3dc278c5bd94155 completed March 1, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:37 p.m.