Triple

T6534826
Position Surface form Disambiguated ID Type / Status
Subject Cayo Real E152331 entity
Predicate hasUrbanDevelopment P61342 FINISHED
Object none 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: none | Statement: [Cayo Real, hasUrbanDevelopment, none]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanDevelopment
Context triple: [Cayo Real, hasUrbanDevelopment, none]
  • A. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • B. hasUrbanPlanning chosen
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • C. hasUrbanGrowthCharacteristic
    Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
  • D. isUrbanizing
    Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
  • E. urbanDevelopmentType
    Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc05da88190b402085954cec8e0 completed March 27, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69c68abd9c7c819099e4fe8097cd1b28 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:46 p.m.