Triple

T4048918
Position Surface form Disambiguated ID Type / Status
Subject Halls Crossroads E84135 entity
Predicate hasRoadJunctionAt P6234 FINISHED
Object intersection of Maynardville Highway and Emory Road 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: intersection of Maynardville Highway and Emory Road | Statement: [Halls Crossroads, hasRoadJunctionAt, intersection of Maynardville Highway and Emory Road]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoadJunctionAt
Context triple: [Halls Crossroads, hasRoadJunctionAt, intersection of Maynardville Highway and Emory Road]
  • A. isMajorRoadJunction
    Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
  • B. isNumberedJunctionOf
    Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
  • C. hasJunctionNumber
    Indicates that a road, route, or similar pathway is assigned a specific junction or exit number.
  • D. roadJunctionIncludes chosen
    Indicates that a road junction spatially contains or encompasses a specific road segment or related roadway element as part of its structure.
  • E. nearJunctionOf
    Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb82d1a08190aa8c5c48d368b58b completed March 9, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.