Triple

T12883126
Position Surface form Disambiguated ID Type / Status
Subject Porto Metro E308152 entity
Predicate hasAtGradeSections P52096 FINISHED
Object yes 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: yes | Statement: [Porto Metro, hasAtGradeSections, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAtGradeSections
Context triple: [Porto Metro, hasAtGradeSections, yes]
  • A. atGradeSections chosen
    Indicates that certain sections or segments are located at ground level or share the same grade elevation relative to their surroundings.
  • B. hasAtGradeStructure
    Indicates that one entity includes or is associated with a structure located at ground level (at grade).
  • C. hasGradesOrClasses
    Indicates that an entity is associated with academic evaluations or enrolled instructional sessions, such as grades received or classes taken.
  • D. hasGradeSystem
    Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
  • E. hasGrades
    Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97c7f91d08190aac2f6419d3ba992 completed April 10, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69d96fa55b888190ab1612e93c41aec4 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:39 p.m.