Triple

T35465821
Position Surface form Disambiguated ID Type / Status
Subject Central station La Paz E1025069 entity
Predicate connectsCountryWithSea P157410 FINISHED
Object Bolivia–Pacific Ocean 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: Bolivia–Pacific Ocean | Statement: [Central station La Paz, connectsCountryWithSea, Bolivia–Pacific Ocean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsCountryWithSea
Context triple: [Central station La Paz, connectsCountryWithSea, Bolivia–Pacific Ocean]
  • A. oceanCountry chosen
    Indicates that a country has a coastline on, borders, or is otherwise directly adjacent to a specified ocean.
  • B. borderingSeaAreaOf
    Indicates that one entity is a sea area that directly borders or adjoins the coastline or maritime boundary of another entity.
  • C. neighboringCountryBySea
    Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
  • D. hasLandBorderWithSea
    Indicates that an entity’s land area directly borders or touches a sea along its coastline.
  • E. hasMaritimeConnection
    Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
  • 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_69f76dfa20d0819089585dc2cf653aea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff8aff48988190a48a440de8238ef9 completed May 9, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69ff8a780404819082f48ceb21e7fe11 completed May 9, 2026, 7:26 p.m.
Created at: May 3, 2026, 4:04 p.m.