Triple

T16836428
Position Surface form Disambiguated ID Type / Status
Subject Southern Region of British Railways E409292 entity
Predicate hadDepot P86339 FINISHED
Object Eastleigh E107646 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: Eastleigh | Statement: [Southern Region of British Railways, hadDepot, Eastleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastleigh
Context triple: [Southern Region of British Railways, hadDepot, 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 (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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3802f08190acd5be6e2ccef2d7 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:23 a.m.