Triple

T11723733
Position Surface form Disambiguated ID Type / Status
Subject Wappinger Creek E278704 entity
Predicate passesThrough P225 FINISHED
Object Town of Washington E785128 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: Town of Washington | Statement: [Wappinger Creek, passesThrough, Town of Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Washington
Context triple: [Wappinger Creek, passesThrough, Town of Washington]
  • A. Town of Washington
    The Town of Washington is a small municipality in Door County, Wisconsin, encompassing Washington Island and surrounding smaller islands in Lake Michigan.
  • B. Town of Washington chosen
    The Town of Washington is a small, rural municipality in Dutchess County, New York, known for its historic character and scenic Hudson Valley landscapes.
  • C. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • D. Spencerville
    Spencerville is a small rural community in eastern Ontario, Canada, known for its historic mill and annual Spencerville Fair.
  • E. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83d9fe70819089b9f3585188f96c completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.