Triple

T2884236
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen Regional Airport E59468 entity
Predicate locatedIn P40 FINISHED
Object Aberdeen, South Dakota E8535 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: Aberdeen, South Dakota | Statement: [Aberdeen Regional Airport, locatedIn, Aberdeen, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen, South Dakota
Context triple: [Aberdeen Regional Airport, locatedIn, Aberdeen, South Dakota]
  • A. Vermillion, South Dakota
    Vermillion, South Dakota is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its flagship campus.
  • B. Columbia, South Dakota
    Columbia, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • C. Aberdeen, South Dakota, United States chosen
    Aberdeen, South Dakota, United States, is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and commerce.
  • D. Westport, South Dakota
    Westport, South Dakota is a small rural town located in northeastern South Dakota within Brown County.
  • E. Elk Point, South Dakota
    Elk Point, South Dakota is a small city in southeastern South Dakota known as one of the state’s oldest settlements and a local hub for the surrounding agricultural region.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02e0ec48190b969ed921d179560 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f2e10b0819090455b876abe821b completed March 12, 2026, 12:56 a.m.
Created at: March 6, 2026, 10:03 p.m.