Triple

T19882065
Position Surface form Disambiguated ID Type / Status
Subject Pilcaniyeu E477798 entity
Predicate isInLandlockedArea P108575 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: [Pilcaniyeu, isInLandlockedArea, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInLandlockedArea
Context triple: [Pilcaniyeu, isInLandlockedArea, true]
  • A. isInLandlockedRegion chosen
    Indicates that an entity is located within a geographic region that has no direct access to the ocean or sea.
  • B. isInLandlockedCountry
    Indicates that the entity is located within a country that has no direct access to the ocean or sea.
  • C. isInLandlockedProvince
    Indicates that the location or entity is situated within a province that has no direct access to the sea or ocean.
  • D. isInLand
    Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
  • E. isLandlockedWithinIsland
    Indicates that an entity has no direct access to the open sea and is entirely surrounded by land that itself is part of an island.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.