Triple

T2262744
Position Surface form Disambiguated ID Type / Status
Subject Colonia Obrera E50073 entity
Predicate roadTypeDominant P1019 FINISHED
Object narrow streets 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: narrow streets | Statement: [Colonia Obrera, roadTypeDominant, narrow streets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadTypeDominant
Context triple: [Colonia Obrera, roadTypeDominant, narrow streets]
  • A. roadType chosen
    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. roadUse
    Indicates that an entity utilizes or travels on a particular road or roadway for movement or transport.
  • E. isMajorRoadIn
    Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc2ea65288190bc8644a07a11dfa9 completed March 7, 2026, 6:17 a.m.
PD Predicate disambiguation batch_69abbdb592588190ac1ef5e8c54575b1 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.