Triple

T155940
Position Surface form Disambiguated ID Type / Status
Subject Álvaro Obregón E3181 entity
Predicate roadNetworkRole P3374 FINISHED
Object important corridor for intra-city traffic 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: important corridor for intra-city traffic | Statement: [Álvaro Obregón, roadNetworkRole, important corridor for intra-city traffic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadNetworkRole
Context triple: [Álvaro Obregón, roadNetworkRole, important corridor for intra-city traffic]
  • A. roadType
    Indicates the classification or category of a road based on its functional or physical characteristics.
  • B. roadFeature
    Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
  • C. roadSystem
    Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
  • D. streetNetwork chosen
    Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
  • E. hasMajorHighway
    Indicates that a location or area is served by or directly connected to a major highway route.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69a2565ded588190a27319aaa0130b4f completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.