Triple

T1695600
Position Surface form Disambiguated ID Type / Status
Subject Northern Moor E36649 entity
Predicate hasNearbyArea P4647 FINISHED
Object Baguley E35768 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: Baguley | Statement: [Northern Moor, hasNearbyArea, Baguley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baguley
Context triple: [Northern Moor, hasNearbyArea, Baguley]
  • A. Baguley chosen
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • B. Bewdley
    Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
  • C. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • D. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • E. Ubley
    Ubley is a small rural village in Somerset, England, situated near the northern edge of the Mendip Hills.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b645a081909dafdf7a32f2a389 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac9ed2c81909fe3fe40515526de completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.