Triple

T8615313
Position Surface form Disambiguated ID Type / Status
Subject Kensico Circle, Valhalla, New York E204020 entity
Predicate trafficControl P17040 FINISHED
Object circular flow 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: circular flow | Statement: [Kensico Circle, Valhalla, New York, trafficControl, circular flow]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trafficControl
Context triple: [Kensico Circle, Valhalla, New York, trafficControl, circular flow]
  • A. hasTrafficControl chosen
    Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
  • B. roadTraffic
    Indicates the presence, flow, or conditions of vehicles and movement along roads or streets.
  • C. trafficManagementStrategy
    Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
  • D. trafficDirection
    Indicates the direction in which traffic is intended or allowed to move relative to a given reference point or segment.
  • E. trafficRestriction
    Indicates a limitation or prohibition on the movement or flow of traffic between entities, such as vehicles, routes, or areas.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc455437488190b7506f820daf6e32 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.