Triple

T12903848
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen Regional Airport E308681 entity
Predicate serves P98 FINISHED
Object Aberdeen, South Dakota E377625 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, serves, 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, serves, Aberdeen, South Dakota]
  • A. Aberdeen, South Dakota chosen
    Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
  • B. Madison, South Dakota
    Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
  • C. Hartford, South Dakota
    Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
  • D. Harrisburg, South Dakota
    Harrisburg, South Dakota is a rapidly growing suburban city near Sioux Falls known for its family-friendly community and strong school system.
  • E. Brandon, South Dakota
    Brandon, South Dakota is a small city in the Sioux Falls metropolitan area known as one of the fastest-growing communities in eastern South Dakota.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46686c288190a51847f86785568a completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 5:40 p.m.