Triple

T34190083
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 136 E877077 entity
Predicate crossesBoundary P13760 FINISHED
Object Massachusetts–Rhode Island state line NE NERFINISHED

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: Massachusetts–Rhode Island state line | Statement: [Massachusetts Route 136, crossesBoundary, Massachusetts–Rhode Island state line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossesBoundary
Context triple: [Massachusetts Route 136, crossesBoundary, Massachusetts–Rhode Island state line]
  • A. crossedBoundary
    Indicates that an entity has moved from one defined area, region, or limit into another, thereby passing across a specified boundary.
  • B. crossesBorderOf chosen
    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. crossesInternationalBoundaryAt
    Indicates that one entity passes from one country’s territory into another at a specific boundary location.
  • D. borderCrossingArea
    Indicates an area specifically designated for crossing a border between two jurisdictions or territories.
  • E. 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.
  • F. None of above.

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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: May 1, 2026, 1:55 a.m.