Triple

T12945219
Position Surface form Disambiguated ID Type / Status
Subject 295 Main Street E309742 entity
Predicate hasIntersectionNearby P49266 FINISHED
Object Main Street and South Division Street 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: Main Street and South Division Street | Statement: [295 Main Street, hasIntersectionNearby, Main Street and South Division Street]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntersectionNearby
Context triple: [295 Main Street, hasIntersectionNearby, Main Street and South Division Street]
  • A. hasNearbyCrossingPoint chosen
    Indicates that one location has a crossing point (such as a bridge, crosswalk, or intersection) situated close to it.
  • B. hasNearbyFunction
    Indicates that one entity has another entity located close by that serves a related or supportive function.
  • C. hasNotableIntersection
    Indicates that two entities intersect or cross at a point that is considered significant or noteworthy in some context.
  • D. hasNearbyEventType
    Indicates that an event of a specified type occurs in close spatial or contextual proximity to a given reference entity or location.
  • E. hasAtGradeCrossingNearby
    Indicates that one entity (typically a location or segment) has a nearby at-grade crossing where two transportation paths intersect at the same level.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97db69f548190a1a693bc0d6c191a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:43 p.m.