Triple

T6488652
Position Surface form Disambiguated ID Type / Status
Subject southern white rhinoceros E147977 entity
Predicate largestPopulationOf P11012 FINISHED
Object white rhinoceros subspecies 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: white rhinoceros subspecies | Statement: [southern white rhinoceros, largestPopulationOf, white rhinoceros subspecies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestPopulationOf
Context triple: [southern white rhinoceros, largestPopulationOf, white rhinoceros subspecies]
  • A. hasLargestPopulationOn chosen
    Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
  • B. countryPopulationContext
    Indicates the contextual population characteristics or statistics associated with a specific country.
  • C. hasPopulationOver
    Indicates that one entity has a population greater than a specified number or than another entity.
  • D. hasLargestCountryByPopulation
    Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
  • E. majorPopulationIn
    Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69c06740bebc81909d9d6956baa2bcb9 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:52 p.m.