Triple

T35591135
Position Surface form Disambiguated ID Type / Status
Subject Independence Square of Girona E1028503 entity
Predicate hasGroundMaterial P11118 FINISHED
Object paved surface 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: paved surface | Statement: [Independence Square of Girona, hasGroundMaterial, paved surface]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGroundMaterial
Context triple: [Independence Square of Girona, hasGroundMaterial, paved surface]
  • A. hasGround
    Indicates that one entity possesses, is supported by, or is associated with a ground or base surface.
  • B. hasGroundPressure
    Indicates that an entity exerts a specific amount of pressure on the ground or surface it is in contact with.
  • C. hasFloorMaterial chosen
    Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
  • D. usesGroundSystem
    Indicates that one entity operates, relies on, or interacts with a particular ground-based system to perform its functions or services.
  • E. hasTerrainFor
    Indicates that a location or area possesses terrain suitable or designated for a particular use, activity, or feature.
  • 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_69f76e0598dc8190a6a093e904b9aa70 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:05 p.m.