Triple

T5252854
Position Surface form Disambiguated ID Type / Status
Subject Geatland E118628 entity
Predicate roleInBeowulf P9987 FINISHED
Object kingdom of the Geats E118628 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: kingdom of the Geats | Statement: [Geatland, roleInBeowulf, kingdom of the Geats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: kingdom of the Geats
Context triple: [Geatland, roleInBeowulf, kingdom of the Geats]
  • A. Gutasaga
    Gutasaga is a medieval Old Gutnish saga that recounts the legendary origins, history, and laws of the people of Gotland.
  • B. the Geats
    The Geats are a North Germanic people from what is now southern Sweden, prominently depicted as the heroic tribe of the warrior Beowulf in the Old English epic.
  • C. Geatland chosen
    Geatland is the homeland of the hero Beowulf, depicted in the Old English epic as the territory of the Geats in what is now southern Sweden.
  • D. Kingsessing
    Kingsessing is a historic, predominantly residential neighborhood in Southwest Philadelphia known for its diverse community and urban park spaces.
  • E. Danelaw
    Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe72c91c8190ab0f988dca420399 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.