Triple

T4346741
Position Surface form Disambiguated ID Type / Status
Subject Sherwood Foundation E97921 entity
Predicate namedAfter P63 FINISHED
Object Sherwood E351461 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: Sherwood | Statement: [Sherwood Foundation, namedAfter, Sherwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherwood
Context triple: [Sherwood Foundation, namedAfter, Sherwood]
  • A. Sherwood chosen
    Sherwood is a masculine given name most famously associated with American writer Sherwood Anderson, known for his influential modernist fiction.
  • B. Wherstead
    Wherstead is a small rural village and civil parish located just south of Ipswich in Suffolk, England, known for its agricultural landscape and proximity to the River Orwell.
  • C. Southwood
    Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
  • D. Islington Woods
    Islington Woods is a residential neighbourhood in the city of Vaughan, Ontario, known for its green spaces and suburban character.
  • E. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518d6728819084a2f40ae0bd3ac8 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba958b88190b1b4efe4274cd060 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:15 p.m.