Triple

T441175
Position Surface form Disambiguated ID Type / Status
Subject Anglo-Norman E10116 entity
Predicate subclassOf P1244 FINISHED
Object Old Norman E10116 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: Old Norman | Statement: [Anglo-Norman, subclassOf, Old Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Norman
Context triple: [Anglo-Norman, subclassOf, Old Norman]
  • A. Norman
    Norman is a masculine given name of English origin that became widely used in the English-speaking world.
  • B. Norman
    Norman is a city in central Oklahoma known for its strong ties to meteorology and atmospheric research, including hosting major national weather institutions.
  • C. Oldambt
    Oldambt is a municipality in the northeast of the Netherlands, known for its reclaimed lake Oldambtmeer and its agricultural landscapes.
  • D. Normans
    The Normans were a medieval people of Viking origin who settled in northern France and became a powerful military and political force in Europe, most famously conquering England in 1066 under William the Conqueror.
  • E. Anglo-Norman chosen
    Anglo-Norman is a variety of Old Norman French that developed in England after the Norman Conquest and served as a key language of the medieval English court, law, and literature.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e71ec4c8190ac1b80c01e0e83ad completed March 1, 2026, 1:26 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.