Triple

T14573683
Position Surface form Disambiguated ID Type / Status
Subject River Orwell E341982 entity
Predicate flowsPast P4996 FINISHED
Object Freston E328261 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: Freston | Statement: [River Orwell, flowsPast, Freston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freston
Context triple: [River Orwell, flowsPast, Freston]
  • A. Freston chosen
    Freston is a small village in the English county of Suffolk, known for its rural setting near the River Orwell and historic Freston Tower.
  • B. Greenford
    Greenford is a suburban area in the London Borough of Ealing, known for its residential neighborhoods, parks, and transport links in West London.
  • C. Cockfosters
    Cockfosters is a suburban area in north London best known for its London Underground station that serves as the northern terminus of the Piccadilly line.
  • D. Neasden
    Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
  • E. Pyrford
    Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf074410081909284345503eb3e9f completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:24 a.m.