Triple

T2475696
Position Surface form Disambiguated ID Type / Status
Subject Escandón E55081 entity
Predicate hasTypeOfUrbanFabric P1495 FINISHED
Object grid street pattern 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: grid street pattern | Statement: [Escandón, hasTypeOfUrbanFabric, grid street pattern]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfUrbanFabric
Context triple: [Escandón, hasTypeOfUrbanFabric, grid street pattern]
  • A. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • B. hasUrbanFeature chosen
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • C. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • D. containsUrbanArea
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • E. isUrbanized
    Indicates that a place or area has been developed with dense human settlement, infrastructure, and built environment characteristic of a city or town.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b5e3d481909a5cbc4a96edd24f completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.