Triple

T17822131
Position Surface form Disambiguated ID Type / Status
Subject Anderson, Indiana E445010 entity
Predicate hasNearbyCity P350 FINISHED
Object Indianapolis, Indiana NE NERFINISHED

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: [Anderson, Indiana, hasNearbyCity, Indianapolis, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indianapolis, Indiana
Context triple: [Anderson, Indiana, hasNearbyCity, 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. Columbus, Indiana
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • C. Fort Wayne, Indiana
    Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
  • D. 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.
  • E. Lafayette, Indiana
    Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.