Triple

T14967218
Position Surface form Disambiguated ID Type / Status
Subject 3rd Avenue (Seattle) E373219 entity
Predicate hasTransitPriorityPolicies P5323 FINISHED
Object peak-hour transit emphasis 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: peak-hour transit emphasis | Statement: [3rd Avenue (Seattle), hasTransitPriorityPolicies, peak-hour transit emphasis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransitPriorityPolicies
Context triple: [3rd Avenue (Seattle), hasTransitPriorityPolicies, peak-hour transit emphasis]
  • A. hasTramPriority
    Indicates that trams are given precedence over other traffic in movement or right-of-way.
  • B. hasPriorityAtJunctions
    Indicates that one entity is granted precedence or right-of-way over others when passing through junctions or intersections.
  • C. hasPedestrianPriority
    Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
  • D. hasTransitFocus chosen
    Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
  • E. transportPriority
    Indicates that one entity is assigned a higher or specific level of precedence over others in being transported or moved.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a5d995881909e33658f5aea5582 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:47 a.m.