Triple

T504254
Position Surface form Disambiguated ID Type / Status
Subject Via do Infante E10466 entity
Predicate relieves P12480 FINISHED
Object EN125 road 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: EN125 road | Statement: [Via do Infante, relieves, EN125 road]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relieves
Context triple: [Via do Infante, relieves, EN125 road]
  • A. relievedBy chosen
    Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
  • B. hasReliefOf
    Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
  • C. reduces
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • D. releaseOf
    Indicates the act or event of something being set free, made available, or discharged from a prior state of containment, control, or restriction.
  • E. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69a2edfce7a08190a408bc019de60d5d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.