Triple

T1493374
Position Surface form Disambiguated ID Type / Status
Subject Weaste E29631 entity
Predicate hasNearbyArea P4647 FINISHED
Object Pendleton E37550 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: Pendleton | Statement: [Weaste, hasNearbyArea, Pendleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pendleton
Context triple: [Weaste, hasNearbyArea, Pendleton]
  • A. Pendleton chosen
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • B. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • C. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • D. Randolph
    Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
  • E. Randolph
    Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c665488190ae665f7a1b0563f5 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232f4b80819095a608816d4d2a34 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8:12 p.m.