Triple

T14309775
Position Surface form Disambiguated ID Type / Status
Subject Blooming Grove, Dane County, Wisconsin E354794 entity
Predicate hasName P744 FINISHED
Object Blooming Grove E354794 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: Blooming Grove | Statement: [Blooming Grove, Dane County, Wisconsin, hasName, Blooming Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blooming Grove
Context triple: [Blooming Grove, Dane County, Wisconsin, hasName, Blooming Grove]
  • A. Blooming Grove chosen
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • B. Baum Grove
    Baum Grove is a small neighborhood park and community green space located in the Shadyside area of Pittsburgh, Pennsylvania.
  • C. Vails Grove
    Vails Grove is a small hamlet within the Town of Southeast in Putnam County, New York, known primarily as a residential lakeside community.
  • D. Brights Grove
    Brights Grove is a lakeside residential community and former village now forming part of the city of Sarnia in southwestern Ontario, Canada.
  • E. River Grove
    River Grove is a suburban village in Cook County, Illinois, located near Chicago and served by commuter rail transit.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4684e2648190b46328252ac9d51b completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.