Triple

T5650388
Position Surface form Disambiguated ID Type / Status
Subject Madison Street E124491 entity
Predicate intersectionRole P65428 FINISHED
Object origin of Chicago street numbering system 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: origin of Chicago street numbering system | Statement: [Madison Street, intersectionRole, origin of Chicago street numbering system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intersectionRole
Context triple: [Madison Street, intersectionRole, origin of Chicago street numbering system]
  • A. fieldIntersection
    Indicates that two or more fields or domains share a common overlapping area or set of elements.
  • B. crossingOf
    Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
  • C. locatedAtIntersectionOf
    Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
  • D. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • E. crossesSectionOf
    Indicates that one entity passes through or over a specific segment or portion of another entity.
  • F. None of above. chosen

Provenance (4 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d4ca788190b20168b20cb1d030 completed March 22, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0727bc8190b16e9a669c04b4dd completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:42 p.m.