Triple

T9923618
Position Surface form Disambiguated ID Type / Status
Subject Sarah Breedlove E187862 entity
Predicate workLocation P7 FINISHED
Object Indianapolis, Indiana E58849 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: Indianapolis, Indiana | Statement: [Sarah Breedlove, workLocation, Indianapolis, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indianapolis, Indiana
Context triple: [Sarah Breedlove, workLocation, Indianapolis, Indiana]
  • A. Indianapolis chosen
    Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
  • B. Fort Wayne, Indiana
    Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
  • C. South Bend, Indiana
    South Bend, Indiana is a mid-sized city in northern Indiana known for its manufacturing heritage, proximity to the University of Notre Dame, and role as an economic and cultural hub of the region.
  • D. Lafayette, Indiana
    Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
  • E. Terre Haute, Indiana
    Terre Haute, Indiana is a mid-sized city in western Indiana known historically as a regional industrial and transportation hub along major rail and river routes.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59733188190900426e4e29ae5e3 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6527343048190b3bb13b33c32fbf7 completed April 8, 2026, 1:04 p.m.
Created at: March 30, 2026, 8:43 p.m.