Triple

T11287390
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 13 E267231 entity
Predicate hasModernizationProjects P51384 FINISHED
Object signal upgrades 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: signal upgrades | Statement: [Paris Métro Line 13, hasModernizationProjects, signal upgrades]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModernizationProjects
Context triple: [Paris Métro Line 13, hasModernizationProjects, signal upgrades]
  • A. implementedModernizationMeasures
    Indicates that an entity has carried out specific actions or initiatives aimed at updating, improving, or modernizing another entity, system, or process.
  • B. modernizationType chosen
    Indicates the specific kind or category of modernization applied to an entity or system.
  • C. modernizationPriority
    Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
  • D. hasRoadImprovementProject
    Indicates that there is a planned, ongoing, or completed project aimed at improving or upgrading a road or roadway infrastructure between the related entities.
  • E. modernizationPurpose
    Indicates that an action or change is carried out with the aim of updating, improving, or bringing something in line with contemporary standards, practices, or technologies.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a240588190aa097298f951c915 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.