Triple

T4937060
Position Surface form Disambiguated ID Type / Status
Subject Dollar E110837 entity
Predicate hasLandmark P105 FINISHED
Object Dollar Glen E125304 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: Dollar Glen | Statement: [Dollar, hasLandmark, Dollar Glen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dollar Glen
Context triple: [Dollar, hasLandmark, Dollar Glen]
  • A. Dollar Glen chosen
    Dollar Glen is a scenic wooded gorge and popular walking area in Clackmannanshire, Scotland, known for its waterfalls, wildlife, and historic castle ruins.
  • B. Garfield Ridge
    Garfield Ridge is a residential neighborhood on Chicago’s Southwest Side known for its proximity to Midway International Airport and its mix of bungalows, parks, and long-time working- and middle-class residents.
  • C. Reservoir Hills
    Reservoir Hills is a residential suburb in Durban, South Africa, historically known for its large Indian community and cultural presence.
  • D. Blooming Grove
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • E. Whitley Heights
    Whitley Heights is a historic hillside neighborhood in Hollywood, Los Angeles, known for its early 20th-century Mediterranean-style homes and ties to the film industry.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7085b1dc819099408f6503f0210f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89eb6cac8190b82bef41062fc8f1 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:30 p.m.