Triple

T4487493
Position Surface form Disambiguated ID Type / Status
Subject Waldo Hotel E107280 entity
Predicate city P40 FINISHED
Object Clarksburg E19617 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: Clarksburg | Statement: [Waldo Hotel, city, Clarksburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarksburg
Context triple: [Waldo Hotel, city, Clarksburg]
  • A. 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.
  • B. Clarksburg, West Virginia chosen
    Clarksburg, West Virginia is a small city in north-central West Virginia known historically as a regional commercial and transportation hub in the Appalachian region.
  • C. Clarksburg, Maryland
    Clarksburg, Maryland is a rapidly growing suburban community in northern Montgomery County known for its planned residential developments and proximity to major commuting routes into the Washington, D.C. metropolitan area.
  • D. Parkersburg, West Virginia
    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.
  • E. Martinsburg, West Virginia
    Martinsburg, West Virginia is a small historic city in the eastern panhandle of the state, known as a regional hub for transportation, commerce, and access to the Washington, D.C. 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52abddf88190b4fb09884ed62500 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee05440cc8190b0ab8d0c0811899b completed March 21, 2026, 6:15 p.m.
Created at: March 20, 2026, 12:59 p.m.