Triple

T11398120
Position Surface form Disambiguated ID Type / Status
Subject USP E270032 entity
Predicate isAmongMostPrestigiousUniversitiesInLatinAmerica P99094 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: [USP, isAmongMostPrestigiousUniversitiesInLatinAmerica, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAmongMostPrestigiousUniversitiesInLatinAmerica
Context triple: [USP, isAmongMostPrestigiousUniversitiesInLatinAmerica, true]
  • A. isOneOfMostImportantUniversitiesInCountry
    Indicates that a university ranks among the top or most significant higher-education institutions within a particular country.
  • B. countryUniversity
    Indicates that a university is located in, or belongs to, a particular country.
  • C. isOneOfLargestUniversitiesIn
    Indicates that an institution ranks among the largest universities within a specified region or group.
  • D. hasCentralUniversityStatus
    Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
  • E. UCLARanking
    Indicates a ranking relationship that orders entities based on their position or standing within the context of UCLA (e.g., programs, departments, or individuals associated with the university).
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69d7e70b228c8190b87f5101fd683788 completed April 9, 2026, 5:51 p.m.
PDg Predicate description generation batch_69d80010712c819089ea2e31e664abe1 completed April 9, 2026, 7:37 p.m.
Created at: April 8, 2026, 9:34 p.m.