Triple

T5013107
Position Surface form Disambiguated ID Type / Status
Subject Eynsham E112672 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Freeland E89259 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: Freeland | Statement: [Eynsham, hasNearbyVillage, Freeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freeland
Context triple: [Eynsham, hasNearbyVillage, Freeland]
  • A. Freeland
    Freeland is an unincorporated community and census-designated place on Whidbey Island in Island County, Washington, known for its waterfront setting and small-town character.
  • B. Freeland chosen
    Freeland is a small rural village located within the district of West Oxfordshire in England.
  • C. Grande Prairie
    Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
  • D. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • E. Pincher Creek
    Pincher Creek is a small town in southwestern Alberta, Canada, known for its strong winds, ranching heritage, and proximity to the Rocky Mountains.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.