Triple

T4183583
Position Surface form Disambiguated ID Type / Status
Subject River Sow E88254 entity
Predicate hasTownOnBank P847 FINISHED
Object Stafford E134052 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: Stafford | Statement: [River Sow, hasTownOnBank, Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stafford
Context triple: [River Sow, hasTownOnBank, Stafford]
  • A. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • B. Stafford chosen
    Stafford is a historic market town in Staffordshire, England, known for its medieval castle, role as the county town, and long-standing regional administrative importance.
  • C. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • D. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • E. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0307a0b481909c7287402a8c78c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961845488190827b03e161f1235e completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.