Triple

T1485133
Position Surface form Disambiguated ID Type / Status
Subject Chausey E29447 entity
Predicate historicalLanguageRegion P29176 FINISHED
Object Norman E85853 NE FINISHED

How this triple was built (3 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: Norman | Statement: [Chausey, historicalLanguageRegion, Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman
Context triple: [Chausey, historicalLanguageRegion, Norman]
  • A. Norman
    Norman is a city in central Oklahoma known for its strong ties to meteorology and atmospheric research, including hosting major national weather institutions.
  • B. Norman chosen
    The Normans were a medieval people of Viking origin who settled in northern France and became influential conquerors and rulers across Europe and the Mediterranean, notably shaping the culture and politics of regions such as England, southern Italy, and Sicily.
  • C. Norman
    Norman is a masculine given name of English origin that became widely used in the English-speaking world.
  • D. Farguson
    Farguson is an alternative spelling of the surname Ferguson, which is of Scottish origin.
  • E. Southery
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLanguageRegion
Context triple: [Chausey, historicalLanguageRegion, Norman]
  • A. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. historicalRegionCode
    Indicates that an entity is associated with a specific code identifying a historical region.
  • C. historicalLanguageGroup
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • D. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • E. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • F. None of above. chosen

Provenance (5 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a011f0819086e9ee517ed6d29f completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15b3a8548190b484a15757aee7b1 completed March 8, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69a4c486eacc81909c272f9bdf50a7c3 completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c52bbb748190aaa804438d31f4c2 completed March 1, 2026, 11 p.m.
Created at: March 1, 2026, 8:12 p.m.