Triple

T3372273
Position Surface form Disambiguated ID Type / Status
Subject Brentwood, Maryland E70981 entity
Predicate borderedBy P224 FINISHED
Object Mount Rainier, Maryland E35435 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: Mount Rainier, Maryland | Statement: [Brentwood, Maryland, borderedBy, Mount Rainier, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Rainier, Maryland
Context triple: [Brentwood, Maryland, borderedBy, Mount Rainier, Maryland]
  • A. Mount Rainier, Maryland chosen
    Mount Rainier, Maryland is a small, historic suburban city just outside Washington, D.C., known for its early-20th-century architecture and diverse, arts-oriented community.
  • B. Catoctin Mountain
    Catoctin Mountain is a ridge of the Blue Ridge Mountains in northern Maryland known for its forested landscapes, recreational areas, and the nearby presidential retreat Camp David.
  • C. Mount Jo
    Mount Jo is a small, popular peak in New York’s Adirondack Mountains known for its short hike and expansive views of the High Peaks region.
  • D. Mount Townsend
    Mount Townsend is one of the highest peaks in Australia, located in the Snowy Mountains of New South Wales near Mount Kosciuszko.
  • E. Gray Mountain
    Gray Mountain is a legal thriller novel by John Grisham that follows a young lawyer uncovering corruption and environmental crimes in a small Appalachian coal town.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.