Triple

T5919019
Position Surface form Disambiguated ID Type / Status
Subject Tom Daschle E131655 entity
Predicate placeOfBirth P1 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: [Tom Daschle, placeOfBirth, Aberdeen, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen, South Dakota
Context triple: [Tom Daschle, placeOfBirth, 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038003c408190b2a89df0b759dcbf completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c03a95688190bfd51d7ada1e538f completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.