Triple

T448449
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Empire Corridor E7073 entity
Predicate primaryCityServed P82 FINISHED
Object Niagara Falls E10589 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: Niagara Falls | Statement: [Amtrak Empire Corridor, primaryCityServed, Niagara Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niagara Falls
Context triple: [Amtrak Empire Corridor, primaryCityServed, Niagara Falls]
  • A. Niagara Falls chosen
    Niagara Falls is a famous group of massive waterfalls on the border between the United States and Canada, renowned for their impressive volume and natural beauty.
  • B. Horseshoe Falls
    Horseshoe Falls is a distinct curved segment of Victoria Falls known for its dramatic, horseshoe-shaped curtain of water.
  • C. Montmorency Falls
    Montmorency Falls is a large, scenic waterfall near Quebec City, Canada, known for its impressive height, suspension bridge, and popular hiking and viewing areas.
  • D. Wahclella Falls
    Wahclella Falls is a picturesque two-tiered waterfall on Tanner Creek in Oregon, popular for its short hiking trail and lush Columbia River Gorge scenery.
  • E. Main Falls
    Main Falls is the central and most prominent curtain of water within Victoria Falls, known for its immense volume and dramatic vertical drop.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6755a08190a057e72279b70456 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fd3a7c81908c761497c3ac04a9 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.