Triple

T15434038
Position Surface form Disambiguated ID Type / Status
Subject Monon Railroad E369712 entity
Predicate connectsCity P4245 FINISHED
Object Bedford, Indiana E45903 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: Bedford, Indiana | Statement: [Monon Railroad, connectsCity, Bedford, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedford, Indiana
Context triple: [Monon Railroad, connectsCity, Bedford, Indiana]
  • A. Bedford, Indiana chosen
    Bedford, Indiana is a small city in southern Indiana renowned as a major center of the Indiana limestone industry.
  • B. Bloomfield, Indiana
    Bloomfield, Indiana is a small town in southwestern Indiana that serves as the administrative and commercial hub of Greene County.
  • C. Brownsville, Indiana
    Brownsville, Indiana is a small unincorporated community located in rural Union County in the eastern part of the state.
  • D. Fairmount, Indiana
    Fairmount, Indiana is a small Midwestern town best known as the childhood home and burial place of actor James Dean.
  • E. Plainfield, Indiana
    Plainfield, Indiana is a growing suburban town in Hendricks County, west of Indianapolis, known for its extensive parks and trail system, strong logistics and distribution industry, and family-oriented community.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eda01cc8190843e23b260b8503c completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8546948190a69ae1306bc19c64 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:21 a.m.