Triple

T2496720
Position Surface form Disambiguated ID Type / Status
Subject Rawtenstall railway station E52167 entity
Predicate servedTown P3936 FINISHED
Object Rawtenstall E9454 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: Rawtenstall | Statement: [Rawtenstall railway station, servedTown, Rawtenstall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rawtenstall
Context triple: [Rawtenstall railway station, servedTown, Rawtenstall]
  • A. Rawtenstall chosen
    Rawtenstall is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
  • B. Minstead
    Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
  • C. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • D. Rusthall
    Rusthall is a village and civil parish in Kent, England, known for its sandstone rock formations and proximity to the spa town of Royal Tunbridge Wells.
  • E. Staveley
    Staveley is a town in Derbyshire, England, known historically for its coal mining and ironworks industries.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66a2c588190874782f4565c0b60 completed March 10, 2026, 6:12 a.m.
Created at: March 6, 2026, 9:45 p.m.