Triple

T11324647
Position Surface form Disambiguated ID Type / Status
Subject Maryland Avenue SW E268177 entity
Predicate crossesQuadrantBoundary P98508 FINISHED
Object near the National Mall LITERAL 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: near the National Mall | Statement: [Maryland Avenue SW, crossesQuadrantBoundary, near the National Mall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossesQuadrantBoundary
Context triple: [Maryland Avenue SW, crossesQuadrantBoundary, near the National Mall]
  • A. crossesQuadrantBoundaryAt
    Indicates that an entity’s path or position passes from one quadrant into another specifically at a given point or time.
  • B. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • C. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • D. crossesNear
    Indicates that one entity passes across the path or area of another entity at a location that is close to, but not directly intersecting, the other entity.
  • E. crossedBoundary
    Indicates that an entity has moved from one defined area, region, or limit into another, thereby passing across a specified boundary.
  • F. None of above. chosen

Provenance (4 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787ad575081908274280bf75d95fd completed April 9, 2026, 11:04 a.m.
PDg Predicate description generation batch_69d796d049e88190a9fd7508f477f541 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:32 p.m.