Triple

T8340549
Position Surface form Disambiguated ID Type / Status
Subject Belmont County, Ohio E195898 entity
Predicate hasBorderCity P15361 FINISHED
Object Bridgeport, Ohio E692359 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: Bridgeport, Ohio | Statement: [Belmont County, Ohio, hasBorderCity, Bridgeport, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeport, Ohio
Context triple: [Belmont County, Ohio, hasBorderCity, Bridgeport, Ohio]
  • A. Bridgeport, Ohio chosen
    Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
  • B. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • C. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • D. Trenton, Ohio
    Trenton, Ohio is a small city in Butler County known as a residential community within the greater Cincinnati–Dayton metropolitan region.
  • E. Harrisburg, Ohio
    Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:57 p.m.