Triple

T802829
Position Surface form Disambiguated ID Type / Status
Subject Hanga Roa E17164 entity
Predicate demographicMajority P21204 FINISHED
Object Rapa Nui and Chilean mainlanders 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: Rapa Nui and Chilean mainlanders | Statement: [Hanga Roa, demographicMajority, Rapa Nui and Chilean mainlanders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demographicMajority
Context triple: [Hanga Roa, demographicMajority, Rapa Nui and Chilean mainlanders]
  • A. majorityCountry
    Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
  • B. majorityType
    Indicates that one type or category constitutes more than half of the instances within a given set or context.
  • C. globalMajorityWithin
    Indicates that one group or category constitutes the majority of a population or set when considered at a global or overall scale within a specified context.
  • D. majorityDenomination
    Indicates that a specified religious denomination constitutes the largest share of a given population or group.
  • E. majorityStatusInCountry
    Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
  • F. None of above. chosen

Provenance (4 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69a4aa70973c8190adbf08302d1103a9 completed March 1, 2026, 9:06 p.m.
PDg Predicate description generation batch_69a4ace369b481908ad69de6de99f5e6 completed March 1, 2026, 9:17 p.m.
Created at: March 1, 2026, 7:38 p.m.