Triple

T13621473
Position Surface form Disambiguated ID Type / Status
Subject Franconian Circle E325465 entity
Predicate hasNumberOfImperialCities P110453 FINISHED
Object multiple LITERAL 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: multiple | Statement: [Franconian Circle, hasNumberOfImperialCities, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfImperialCities
Context triple: [Franconian Circle, hasNumberOfImperialCities, multiple]
  • A. hasNumberOfComponentCities
    Indicates the relationship that specifies how many component cities are contained within or associated with a given entity.
  • B. hasColonialCity
    Indicates that an entity possesses or includes a city that was established or significantly developed during a period of colonial rule.
  • C. ruledCity
    Indicates that a person or governing entity exercised political authority or control over a specific city.
  • D. wasFreeImperialCityOf
    Indicates that an entity formerly held the status of a Free Imperial City within the Holy Roman Empire in relation to another specified entity (typically the empire or its imperial structure).
  • E. isDiplomaticCenterOf
    Indicates that a location serves as the primary site or hub for conducting diplomatic activities and relations for a specified entity.
  • F. None of above. chosen

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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbbb8c77dc8190b7bd803b5e168d23 completed April 12, 2026, 3:34 p.m.
Created at: April 9, 2026, 9:50 p.m.