Triple

T11723742
Position Surface form Disambiguated ID Type / Status
Subject Wappinger Creek E278704 entity
Predicate hasWaterfall P13549 FINISHED
Object Wappinger Falls E33357 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: Wappinger Falls | Statement: [Wappinger Creek, hasWaterfall, Wappinger Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wappinger Falls
Context triple: [Wappinger Creek, hasWaterfall, Wappinger Falls]
  • A. Wappingers Falls chosen
    Wappingers Falls is a small village in New York’s Hudson Valley known for its historic mill sites and location along Wappinger Creek.
  • B. Cohoes Falls
    Cohoes Falls is a large waterfall on the Mohawk River in New York, historically significant for its role in regional industry and transportation.
  • C. Newton Lower Falls
    Newton Lower Falls is a village in the western part of Newton, Massachusetts, known for its historic mill area along the Charles River and its primarily residential character.
  • D. High Falls
    High Falls is a prominent waterfall on the Pigeon River, known for its powerful drop along the U.S.–Canada border in the Great Lakes region.
  • E. High Falls
    High Falls is a prominent, scenic waterfall in North Carolina’s DuPont State Recreational Forest, known for its broad, cascading drop over exposed rock.
  • 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.