Triple

T11999292
Position Surface form Disambiguated ID Type / Status
Subject Lansing, Minnesota E285613 entity
Predicate hasFeature P182 FINISHED
Object Turtle Creek E1232015 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: Turtle Creek | Statement: [Lansing, Minnesota, hasFeature, Turtle Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turtle Creek
Context triple: [Lansing, Minnesota, hasFeature, Turtle Creek]
  • A. Turtle Creek
    Turtle Creek is a scenic waterway and upscale residential area in Dallas, Texas, known for its parks, trails, and high-rise living along its banks.
  • B. Turtle Creek chosen
    Turtle Creek is a small waterway in southeastern Minnesota that flows through the city of Lansing and the surrounding rural landscape.
  • C. Chestnut Creek
    Chestnut Creek is a smaller stream in New York’s Hudson Valley that feeds into Rondout Creek as part of the region’s watershed.
  • D. Highland Creek
    Highland Creek is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its ravine landscapes and proximity to the University of Toronto Scarborough campus.
  • E. Crabtree Creek
    Crabtree Creek is a stream in Nelson County, Virginia, that feeds the scenic multi-tiered Crabtree Falls in the Blue Ridge Mountains.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aade82788190a5f3cedbc22065c4 completed May 10, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:46 p.m.