Triple

T10001037
Position Surface form Disambiguated ID Type / Status
Subject Lorton station E197325 entity
Predicate hasServiceTo P6787 FINISHED
Object Sanford, Florida E165010 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: Sanford, Florida | Statement: [Lorton station, hasServiceTo, Sanford, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanford, Florida
Context triple: [Lorton station, hasServiceTo, Sanford, Florida]
  • A. Sanford, Florida chosen
    Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
  • B. Sanford
    Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
  • C. Sanford
    Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
  • D. Sanford
    Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • E. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8f50888190b2f1c5240cb58e4f completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb8b92b0819081e5ac52e2f4f27e completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:51 p.m.