Triple

T2505969
Position Surface form Disambiguated ID Type / Status
Subject Brownsville E52580 entity
Predicate historicalDemographic P26851 FINISHED
Object predominantly Jewish in early 20th century 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: predominantly Jewish in early 20th century | Statement: [Brownsville, historicalDemographic, predominantly Jewish in early 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalDemographic
Context triple: [Brownsville, historicalDemographic, predominantly Jewish in early 20th century]
  • A. demographicHistory
    Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
  • B. religiousCompositionHistorical chosen
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • C. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • D. demographics
    Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
  • E. historicalDiversity
    Indicates that there has been variation or change in the composition, characteristics, or representation of something across different historical periods.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd65d6a988190aaaac8e98540a14f completed March 7, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69abd0bd996c8190ba8b9d6e4333b8d4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.