Triple

T21158005
Position Surface form Disambiguated ID Type / Status
Subject IN-2 E521361 entity
Predicate contains P35 FINISHED
Object Rochester, 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: Rochester, Indiana | Statement: [IN-2, contains, Rochester, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochester, Indiana
Context triple: [IN-2, contains, Rochester, Indiana]
  • A. Rochester, Indiana chosen
    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.
  • B. 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.
  • C. Bristol, Indiana
    Bristol, Indiana is a small town in Elkhart County known for its historic character and location along the St. Joseph River in northern Indiana.
  • D. Rensselaer, Indiana
    Rensselaer, Indiana is a small city in Jasper County known as the county seat and the final resting place of prominent U.S. Congressman Charles A. Halleck.
  • E. Riverside, Indiana
    Riverside, Indiana is an unincorporated community located within Huntington County in the U.S. state of Indiana.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252dc3f0819094c6acf52a9f308d completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.