Triple

T333243
Position Surface form Disambiguated ID Type / Status
Subject Texas's 15th congressional district E6668 entity
Predicate languageCharacteristic P6520 FINISHED
Object large Spanish-speaking population 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: large Spanish-speaking population | Statement: [Texas's 15th congressional district, languageCharacteristic, large Spanish-speaking population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageCharacteristic
Context triple: [Texas's 15th congressional district, languageCharacteristic, large Spanish-speaking population]
  • A. linguisticFeature chosen
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • B. languageVariant
    Indicates that one language is a variant, dialect, or localized form of another language.
  • C. recognizedRegionalLanguage
    Indicates that a language holds officially recognized status within a specific region or subnational jurisdiction.
  • D. languageForm
    Indicates the specific linguistic form or expression in which something is conveyed or represented.
  • E. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac4d9d081908a624464e450fb0e completed Feb. 28, 2026, 1:16 p.m.
PD Predicate disambiguation batch_69a2e94d99cc8190a112e4b630ec63c1 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.