Triple

T17045267
Position Surface form Disambiguated ID Type / Status
Subject Levoča E413550 entity
Predicate wasFreeRoyalTown P82213 FINISHED
Object true 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: true | Statement: [Levoča, wasFreeRoyalTown, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasFreeRoyalTown
Context triple: [Levoča, wasFreeRoyalTown, true]
  • A. 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).
  • B. wasRoyalBurgh chosen
    Indicates that a town or settlement held the official legal status of a royal burgh, having been granted specific rights and privileges directly by the monarch.
  • C. grantedFiefOf
    Indicates that one party has been formally given control or ownership of a fief (landed estate) by another authority.
  • D. liberatedCity
    Indicates that an agent has freed a city from control, occupation, or oppression.
  • E. ruledCity
    Indicates that a person or governing entity exercised political authority or control over a specific city.
  • F. None of above.

Provenance (3 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69e35d60a588819084f53ef9f8b2e7c0 completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.