Triple

T20043508
Position Surface form Disambiguated ID Type / Status
Subject Argentina and Paraguay E497490 entity
Predicate shareDiasporaLinks P86078 FINISHED
Object Paraguayan community in Argentina 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: Paraguayan community in Argentina | Statement: [Argentina and Paraguay, shareDiasporaLinks, Paraguayan community in Argentina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareDiasporaLinks
Context triple: [Argentina and Paraguay, shareDiasporaLinks, Paraguayan community in Argentina]
  • A. shareDiasporaFlows
    Indicates that there are migration or diaspora movements connecting the two entities, such that they share significant flows of people relocating or maintaining ties across their populations.
  • B. diasporaLinks chosen
    Indicates connections or relationships maintained between a diaspora community and its place or community of origin.
  • C. sharesNetwork
    Indicates that two or more entities are connected to and operate within the same network.
  • D. sharesUniverseWith
    Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
  • E. sharesWith
    Indicates that one entity gives another entity access to or use of something it possesses.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ed59bc8190a9ff25493e500ebb completed April 20, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:37 p.m.