Triple

T6957100
Position Surface form Disambiguated ID Type / Status
Subject Pordenone E161271 entity
Predicate hasMedievalCenter P29116 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: [Pordenone, hasMedievalCenter, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMedievalCenter
Context triple: [Pordenone, hasMedievalCenter, true]
  • A. hasHistoricCenterStatus
    Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
  • B. hasMedievalElements
    Indicates that something incorporates characteristics, motifs, or features typical of the medieval period.
  • C. isMedieval
    Indicates that something belongs to, originates from, or is characteristic of the medieval (Middle Ages) period.
  • D. hasMedievalStreetPattern chosen
    Indicates that an area’s street layout follows or preserves a characteristic medieval pattern of routes, blocks, and spaces.
  • E. hasMajorHistoricalCentersIn
    Indicates that an entity possesses significant, historically important centers or hubs located within a specified place or region.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad0e52081908b524dc6a66bab01 completed March 27, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69c6d7c0b0a08190b262dfc94992994d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:29 p.m.