Triple

T17266978
Position Surface form Disambiguated ID Type / Status
Subject W.D. Wis. E419153 entity
Predicate legalCitationAbbreviation P18527 FINISHED
Object W.D. Wis. E419153 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: W.D. Wis. | Statement: [W.D. Wis., legalCitationAbbreviation, W.D. Wis.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W.D. Wis.
Context triple: [W.D. Wis., legalCitationAbbreviation, W.D. Wis.]
  • A. W.D. Wis. chosen
    W.D. Wis. is the standard legal abbreviation for the United States District Court for the Western District of Wisconsin, a federal trial court within the Seventh Circuit.
  • B. Wisconsin
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • C. Wisco
    Wisco is an informal nickname commonly used to refer to the University of Wisconsin or the state of Wisconsin.
  • D. Wilson, Wisconsin
    Wilson, Wisconsin is a small town located in Iron County in the northern part of the U.S. state of Wisconsin.
  • E. Washington, Wisconsin
    Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f45bf608190bcb48783d0d6fb85 completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179482a348190a00dd3cd5076431e completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.