Triple

T12593162
Position Surface form Disambiguated ID Type / Status
Subject Tom Raper E300657 entity
Predicate placeOfBusiness P1527 FINISHED
Object Richmond, Indiana E54908 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: Richmond, Indiana | Statement: [Tom Raper, placeOfBusiness, Richmond, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond, Indiana
Context triple: [Tom Raper, placeOfBusiness, Richmond, Indiana]
  • A. Richmond, Indiana chosen
    Richmond, Indiana is a small city in eastern Indiana known historically as a regional transportation hub and for its contributions to early jazz recording and manufacturing.
  • B. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • C. Roanoke, Indiana
    Roanoke, Indiana is a small town in Huntington County known for its proximity to Fort Wayne and its mix of rural charm and light industrial and commercial development.
  • D. Rochester, Indiana
    Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
  • E. Westville, Indiana
    Westville, Indiana is a small town in northwestern Indiana known for its rural character and proximity to larger cities like Michigan City and South Bend.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f404888190b7bb47bff1a7c1e1 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 5:07 p.m.