Triple

T3244337
Position Surface form Disambiguated ID Type / Status
Subject James Whitcomb Riley E68035 entity
Predicate residence P75 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: [James Whitcomb Riley, residence, Indianapolis, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indianapolis, Indiana
Context triple: [James Whitcomb Riley, residence, 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1856708190b072efbb27920ade completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fccf644819082334b566f23c20a completed March 14, 2026, 11 a.m.
Created at: March 8, 2026, 3:08 p.m.