Triple

T3789187
Position Surface form Disambiguated ID Type / Status
Subject City of Gaithersburg, Maryland E89602 entity
Predicate hasPlannedCommunity P23364 FINISHED
Object Lakelands E127405 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: Lakelands | Statement: [City of Gaithersburg, Maryland, hasPlannedCommunity, Lakelands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakelands
Context triple: [City of Gaithersburg, Maryland, hasPlannedCommunity, Lakelands]
  • A. Lakelands chosen
    Lakelands is a New Urbanist-style planned residential community in Gaithersburg, Maryland, known for its walkable streets, mixed-use design, and small-town feel.
  • B. Iller
    The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • C. Fox Valley
    Fox Valley is a suburban region in northern Illinois centered along the Fox River, known for its chain of mid-sized cities, historic downtowns, and riverfront communities west of Chicago.
  • D. Driftless Area
    The Driftless Area is a distinctive region of the Upper Midwest in the United States known for its rugged, steep terrain and deep river valleys that escaped glaciation during the last Ice Age.
  • E. South Woods
    South Woods is a wooded area within New York City's Central Park known for its naturalistic landscape and tranquil, forest-like setting.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.