Triple

T23402723
Position Surface form Disambiguated ID Type / Status
Subject Rivera E559548 entity
Predicate hasBinationalUrbanArea P144875 FINISHED
Object true 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: true | Statement: [Rivera, hasBinationalUrbanArea, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBinationalUrbanArea
Context triple: [Rivera, hasBinationalUrbanArea, true]
  • A. isBinationalUrbanArea chosen
    Indicates that an urban area spans across and functionally integrates cities or communities in two different nations.
  • B. hasMajorBinationalComponent
    Indicates that something involves a significant component jointly undertaken, governed, or shared by two different nations.
  • C. isBinationalComponentOf
    Indicates that an entity is a component or part of a larger structure, project, or system that is jointly established, managed, or recognized by two nations.
  • D. hasBinationalCooperationBody
    Indicates that there exists a formal cooperative body jointly established and operated by two nations to manage or coordinate shared interests or activities.
  • E. isBinational
    Indicates that an entity is associated with or recognized by two distinct nations, such as holding dual nationality or operating under the authority of two countries.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e09ccc81909869d2c5f6d68432 completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061ed34288190a2e5e8cae03b0095 completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:37 p.m.