Triple

T13710016
Position Surface form Disambiguated ID Type / Status
Subject Fairmont, West Virginia E328745 entity
Predicate originalName P65 FINISHED
Object Middletown E973739 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: Middletown | Statement: [Fairmont, West Virginia, originalName, Middletown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middletown
Context triple: [Fairmont, West Virginia, originalName, Middletown]
  • A. Middletown
    Middletown is a city in central Connecticut known as the home of Wesleyan University and its historic downtown along the Connecticut River.
  • B. Middletown
    Middletown is a small historic town located in Frederick County in the northern Shenandoah Valley region of Virginia, United States.
  • C. Middletown
    Middletown is one of New Jersey’s oldest and largest suburban communities, known for its historic roots, residential neighborhoods, and proximity to the Jersey Shore.
  • D. Middletown
    Middletown is a coastal town on Aquidneck Island in Rhode Island, known for its beaches, historic sites, and proximity to Newport.
  • E. Middletown chosen
    Middletown was the original name of the city now known as Fairmont in north-central West Virginia.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.