Triple

T7301477
Position Surface form Disambiguated ID Type / Status
Subject Newport E167864 entity
Predicate replacedByName P3432 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: [Newport, replacedByName, Parkersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkersburg
Context triple: [Newport, replacedByName, 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. Glassport
    Glassport is a small industrial borough in Allegheny County, Pennsylvania, located along the Monongahela River near Pittsburgh.
  • E. West Pittsburg
    West Pittsburg was the former name of the unincorporated community now known as Bay Point in Contra Costa County, California.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e56e62d48190b0e25464ebffe148 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:01 p.m.