Triple

T14589
Position Surface form Disambiguated ID Type / Status
Subject University of California, Berkeley E290 entity
Predicate globalRanking P733 FINISHED
Object consistently among top public universities worldwide 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: consistently among top public universities worldwide | Statement: [University of California, Berkeley, globalRanking, consistently among top public universities worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: globalRanking
Context triple: [University of California, Berkeley, globalRanking, consistently among top public universities worldwide]
  • A. honorLevel
    Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
  • B. rankByPopulationInUnitedStates
    Indicates the relative ordering of entities based on their population size within the United States.
  • C. rankByPopulationInUS
    Indicates the relative ordering of entities based on the size of their populations within the United States.
  • D. honorificRank
    Indicates that one entity holds a formal title or honorific status in relation to another entity.
  • E. militaryRank
    Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240b249788190af8dbf7e80e9c91b completed Feb. 28, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69a23feae8c481908d8c50faac01fc5c completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a240b1551c81908abcae128ea45d00 completed Feb. 28, 2026, 1:11 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.