Triple

T21023269
Position Surface form Disambiguated ID Type / Status
Subject Old Deer E517869 entity
Predicate hasNearbySettlement P4647 FINISHED
Object New Deer NE NERFINISHED

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: New Deer | Statement: [Old Deer, hasNearbySettlement, New Deer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Deer
Context triple: [Old Deer, hasNearbySettlement, New Deer]
  • A. New Deer chosen
    New Deer is a small rural village in the Buchan area of Aberdeenshire, northeast Scotland, known for its agricultural surroundings and local community facilities.
  • B. Old Deer
    Old Deer is a historic village in Aberdeenshire, Scotland, known for its early Christian monastic connections and the nearby discovery of the medieval Book of Deer manuscript.
  • C. Running Deer
    Running Deer is a novel by American author Clancy Carlile, best known for its exploration of Native American themes and identity.
  • D. People of the Deer
    People of the Deer is a nonfiction book by Farley Mowat that recounts his experiences living among the Inuit of the Canadian Arctic and exposes the hardships and injustices they faced.
  • E. The Deer
    The Deer is a character in the animated film "The Voices," portrayed through both acting and voice work by the same lead performer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5f5bcc8190ab5fcc467703f0ef completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.