Triple

T19884964
Position Surface form Disambiguated ID Type / Status
Subject Silverlake Stadium E477873 entity
Predicate location P40 FINISHED
Object Eastleigh NE NERFINISHED

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: Eastleigh | Statement: [Silverlake Stadium, location, Eastleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastleigh
Context triple: [Silverlake Stadium, location, Eastleigh]
  • A. Eastleigh chosen
    Eastleigh is a town in Hampshire, England, situated between Southampton and Winchester and known for its railway heritage and commuter links.
  • B. Eastleigh
    Eastleigh is a densely populated, commercially vibrant neighborhood in Nairobi, Kenya, known for its large Somali community and bustling markets.
  • C. Eastney
    Eastney is a coastal suburb located at the eastern end of Portsmouth on Portsea Island in Hampshire, England.
  • D. Epping
    Epping is a suburb in Melbourne, Australia, known for its residential communities, shopping facilities, and role as a transport hub in the city's northern corridor.
  • E. Epping
    Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.