Triple

T10035927
Position Surface form Disambiguated ID Type / Status
Subject Wantage E204968 entity
Predicate hasNeighbouringTown P3883 FINISHED
Object Grove E765840 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: Grove | Statement: [Wantage, hasNeighbouringTown, Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grove
Context triple: [Wantage, hasNeighbouringTown, Grove]
  • A. Grove
    Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
  • B. Grove chosen
    Grove is a large village and civil parish in Oxfordshire, England, situated near Wantage and known for its residential communities and local amenities.
  • C. The Grove
    The Grove is a popular open-air shopping, dining, and entertainment complex in Los Angeles known for its upscale retailers and lively atmosphere.
  • D. The Grove
    The Grove was the original name of Lakefield College School, an independent boarding and day school in Lakefield, Ontario, Canada.
  • E. Groves
    Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4bb3408190ac5dae4718ef7cad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.