Triple

T22285649
Position Surface form Disambiguated ID Type / Status
Subject TW3 E550853 entity
Predicate covers P1393 FINISHED
Object Spring Grove NE NERFINISHED

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: Spring Grove | Statement: [TW3, covers, Spring Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spring Grove
Context triple: [TW3, covers, Spring Grove]
  • A. Spring Grove chosen
    Spring Grove is a small village in McHenry County, Illinois, known for its semi-rural character and residential communities northwest of Chicago.
  • B. Blooming Grove
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • C. Rose Grove
    Rose Grove is a suburban area of Burnley in Lancashire, England, known primarily for its railway station on the East Lancashire Line and its historical association with local rail and industry.
  • D. Ziegler’s Grove
    Ziegler’s Grove is a small wooded area on Cemetery Ridge at the Gettysburg battlefield, notable as a key position in the Union defensive line during Pickett’s Charge.
  • E. Cedar Grove
    Cedar Grove is a residential neighborhood in New Jersey served by NJ Transit's Butler rail station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15606948c81909ebaa5ea106d2b7a completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:40 p.m.