Triple

T11201265
Position Surface form Disambiguated ID Type / Status
Subject Little Falls station E265044 entity
Predicate town P3385 FINISHED
Object Little Falls E160314 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: Little Falls | Statement: [Little Falls station, town, Little Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Falls
Context triple: [Little Falls station, town, Little Falls]
  • A. Little Falls
    Little Falls is a residential suburb located within the greater Roodepoort area on the West Rand of Johannesburg, South Africa.
  • B. Little Falls, New York chosen
    Little Falls, New York is a small city in the Mohawk Valley known for its historic canal-era architecture and scenic waterfalls.
  • C. Tinton Falls
    Tinton Falls is a borough in Monmouth County, New Jersey, known for its namesake waterfall on the Tinton River and its mix of residential communities, commercial areas, and parklands.
  • D. Cambridge Falls
    Cambridge Falls is a mysterious, isolated town in John Stephens' fantasy novel "The Emerald Atlas," where time-bending magic and dark forces converge around three orphaned siblings.
  • E. Big Falls
    Big Falls is a prominent waterfall on the Missouri River near Great Falls, Montana, known for its impressive drop and scenic views.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.