Triple

T14578957
Position Surface form Disambiguated ID Type / Status
Subject Humboldt, South Dakota E342132 entity
Predicate hasOfficialLanguageDeFacto P237 FINISHED
Object English E211 NE 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: English | Statement: [Humboldt, South Dakota, hasOfficialLanguageDeFacto, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Humboldt, South Dakota, hasOfficialLanguageDeFacto, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. Inglis
    Inglis is a surname most prominently associated with Australian rugby league star Greg Inglis.
  • C. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • D. EN
    EN is the standard abbreviation used in Portugal for "Estrada Nacional," the national road network.
  • E. Angolalla
    Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab7d698819085fd81d7b6f96317 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.