Triple

T4773921
Position Surface form Disambiguated ID Type / Status
Subject Fair Oaks Chicken Festival E105996 entity
Predicate hasTrafficImpact P3830 FINISHED
Object temporary road closures in Fair Oaks Village 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: temporary road closures in Fair Oaks Village | Statement: [Fair Oaks Chicken Festival, hasTrafficImpact, temporary road closures in Fair Oaks Village]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrafficImpact
Context triple: [Fair Oaks Chicken Festival, hasTrafficImpact, temporary road closures in Fair Oaks Village]
  • A. transportationImpact chosen
    Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
  • B. hasTrafficIsland
    Indicates the presence of a traffic island separating or organizing lanes or directions of vehicular movement within a roadway.
  • C. hasTruckTraffic
    Indicates that there is truck-related vehicular movement or flow occurring on or through a specified location or route.
  • D. hasTrafficControl
    Indicates that some form of traffic management or regulation mechanism is present or applied to a given route, intersection, or transportation element.
  • E. hasHeavyTraffic
    Indicates that a location, route, or area is experiencing a high volume of traffic, causing congestion or delays.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6560b3448190a0debbd8da29d986 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.