Triple

T7240157
Position Surface form Disambiguated ID Type / Status
Subject Colbert County E155332 entity
Predicate hasLandmark P105 FINISHED
Object Ivy Green E98120 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: Ivy Green | Statement: [Colbert County, hasLandmark, Ivy Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivy Green
Context triple: [Colbert County, hasLandmark, Ivy Green]
  • A. Ivy Green chosen
    Ivy Green is the historic childhood home of Helen Keller, now preserved as a museum in Tuscumbia, Alabama.
  • B. Goose Green
    Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
  • C. Goose Green
    Goose Green is a small public park and open green space in the East Dulwich area of south London, popular for recreation and community events.
  • D. Juniper Green
    Juniper Green is a suburban village on the outskirts of Edinburgh, Scotland, known for its residential character and proximity to the Water of Leith.
  • E. Dartmouth green
    Dartmouth green is the distinctive dark green color traditionally associated with Dartmouth College and used prominently in its branding and athletic uniforms.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea39230481908401ead83d8666cd completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.