Triple

T779558
Position Surface form Disambiguated ID Type / Status
Subject Santa Clara County E16465 entity
Predicate populationRankInCalifornia P4101 FINISHED
Object one of the most populous counties in California 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: one of the most populous counties in California | Statement: [Santa Clara County, populationRankInCalifornia, one of the most populous counties in California]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInCalifornia
Context triple: [Santa Clara County, populationRankInCalifornia, one of the most populous counties in California]
  • A. rankInCaliforniaByPopulation chosen
    Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
  • B. areaRankInUS
    Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
  • C. rankByPopulationInUnitedStates
    Indicates the relative ordering of entities based on their population size within the United States.
  • D. rankByPopulationInUS
    Indicates the relative ordering of entities based on the size of their populations within the United States.
  • E. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a90365648190ace53b0f0e87aa68 completed March 1, 2026, 9 p.m.
PD Predicate disambiguation batch_69a4a50bd23081908908235b8ec9201e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.