Triple

T5280410
Position Surface form Disambiguated ID Type / Status
Subject Orlando Sanford International Airport E119481 entity
Predicate locatedIn P40 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: [Orlando Sanford International Airport, locatedIn, Sanford, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanford, Florida
Context triple: [Orlando Sanford International Airport, locatedIn, 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. Sarasota, Florida
    Sarasota, Florida is a Gulf Coast city known for its beaches, arts and cultural scene, and as a longtime hub for Major League Baseball spring training.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c409248190a0154a660f58e096 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187d8a7c8190a8d686393d277bab completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:52 p.m.