Triple

T28707812
Position Surface form Disambiguated ID Type / Status
Subject SBASE E729742 entity
Predicate appliesQualityStandardsTo P136038 FINISHED
Object Buenos Aires Underground NE NERFINISHED

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: Buenos Aires Underground | Statement: [SBASE, appliesQualityStandardsTo, Buenos Aires Underground]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesQualityStandardsTo
Context triple: [SBASE, appliesQualityStandardsTo, Buenos Aires Underground]
  • A. hasQualityControl
    Indicates that an entity is subject to processes or measures designed to monitor, verify, and maintain the quality of its outputs or operations.
  • B. supportsQuality
    Indicates that one entity contributes to maintaining, enhancing, or ensuring the quality or standard of another entity or process.
  • C. standardsUsedIn chosen
    Indicates that certain standards are applied, referenced, or followed within a particular context, process, or entity.
  • D. hasReliabilityStandards
    Indicates that one entity defines, follows, or is governed by specific reliability standards established by another entity.
  • E. requiresQualificationStandard
    Indicates that performing or engaging in the referenced activity, role, or process is contingent upon meeting a specified qualification standard.
  • 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_69f043e7d5a4819094b18aca10b1e024 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: April 28, 2026, 5:46 a.m.