Triple

T9189634
Position Surface form Disambiguated ID Type / Status
Subject Zalewo E220547 entity
Predicate hasHistoricalArchitecture P1098 FINISHED
Object townhouses in the centre — 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: townhouses in the centre | Statement: [Zalewo, hasHistoricalArchitecture, townhouses in the centre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalArchitecture
Context triple: [Zalewo, hasHistoricalArchitecture, townhouses in the centre]
  • A. historicalStructure
    Indicates that the subject is a structure recognized for its historical significance or heritage value.
  • B. hasHistoricSite chosen
    Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
  • C. architectureHistory
    Indicates a historical or developmental relationship between an entity and its architectural evolution, style, or significant architectural events over time.
  • D. hasArchitecturalSignificance
    Indicates that something possesses notable architectural qualities, importance, or influence that make it worthy of special attention or recognition.
  • E. hasPreservedBuildings
    Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69cc66090e5881908889dc1213815626 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:24 p.m.