Triple

T7379279
Position Surface form Disambiguated ID Type / Status
Subject Southend Victoria railway station E170205 entity
Predicate serves P98 FINISHED
Object Southend-on-Sea E53391 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: Southend-on-Sea | Statement: [Southend Victoria railway station, serves, Southend-on-Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southend-on-Sea
Context triple: [Southend Victoria railway station, serves, Southend-on-Sea]
  • A. Southend-on-Sea chosen
    Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
  • B. Leigh-on-Sea
    Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
  • C. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • D. Clacton-on-Sea
    Clacton-on-Sea is a seaside resort town on the Essex coast of England, known for its sandy beaches, pier, and traditional British holiday attractions.
  • E. Richmond Beach
    Richmond Beach is a coastal neighborhood and public shoreline area in Shoreline, Washington, known for its waterfront park and views of Puget Sound.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c4ad0081909386fbef9f61ae4c completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87067b98081908439af85623a97ea completed March 29, 2026, 12:20 a.m.
Created at: March 27, 2026, 3:08 p.m.