Triple

T4773106
Position Surface form Disambiguated ID Type / Status
Subject Camden Clark Medical Center E105978 entity
Predicate city P40 FINISHED
Object Parkersburg E19277 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: Parkersburg | Statement: [Camden Clark Medical Center, city, Parkersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkersburg
Context triple: [Camden Clark Medical Center, city, Parkersburg]
  • A. Parkersburg, West Virginia chosen
    Parkersburg, West Virginia is a mid-sized city along the Ohio River that serves as a regional economic and transportation hub in western West Virginia.
  • B. Petersburg, West Virginia
    Petersburg, West Virginia, is a small city in the Potomac Highlands region known as a local commercial hub and gateway to nearby outdoor recreation areas such as Dolly Sods and Seneca Rocks.
  • C. Clarksburg
    Clarksburg is a small town located in the northern part of Massachusetts, near the Vermont border, known for its rural character and natural scenery.
  • D. West Pittsburg
    West Pittsburg was the former name of the unincorporated community now known as Bay Point in Contra Costa County, California.
  • E. Elkins
    Elkins is a surname most notably associated with the prominent American Elkins family, including heiress and philanthropist Eleanor Elkins Widener.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655f98b0819088c05c5502ecf2cd completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4623ae881908f5dac4eaa56f91d completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:21 p.m.