Triple

T6794145
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Auto Train E156009 entity
Predicate endPoint P390 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: [Amtrak Auto Train, endPoint, Sanford, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanford, Florida
Context triple: [Amtrak Auto Train, endPoint, 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 a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • C. Sanford
    Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
  • D. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • E. Sanford
    Sanford is a city in central North Carolina that serves as a regional hub for education, industry, and commerce.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c59648819081736d27d52d957f completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748ad80b881909efd0c0abddb95a5 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:15 p.m.