Triple

T24978596
Position Surface form Disambiguated ID Type / Status
Subject Marblehead Regiment E625096 entity
Predicate hadLanguageDiversity P16608 FINISHED
Object included Portuguese-speaking soldiers 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: included Portuguese-speaking soldiers | Statement: [Marblehead Regiment, hadLanguageDiversity, included Portuguese-speaking soldiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadLanguageDiversity
Context triple: [Marblehead Regiment, hadLanguageDiversity, included Portuguese-speaking soldiers]
  • A. languageDiversity chosen
    Indicates the degree to which multiple distinct languages are present and used within a given context or population.
  • B. hasLinguisticVariety
    Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
  • C. hasMulticulturalTradition
    Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
  • D. hasMajorityLanguageHistorically
    Indicates that a particular language has historically been the predominant or majority language within a given entity or region.
  • 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_69e2ff254570819093d197b1900305ac completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d77f6e88190a4643ab2cbef567b completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:02 a.m.