Triple

T30718942
Position Surface form Disambiguated ID Type / Status
Subject Callaíta E782097 entity
Predicate featuresUrbanRhythms P201791 FINISHED
Object true 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: true | Statement: [Callaíta, featuresUrbanRhythms, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresUrbanRhythms
Context triple: [Callaíta, featuresUrbanRhythms, true]
  • A. urbanLandscapeCharacterizedBy
    Indicates that an urban landscape possesses or is defined by specific distinguishing features, qualities, or elements.
  • B. isUrbanSee
    Indicates a relationship where a location or area is recognized or classified as an urban settlement or city-like environment.
  • C. mainUrbanPlan
    Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
  • D. urbanScale
    Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
  • E. refersToUrbanFeature
    Indicates that one entity makes reference or points specifically to an urban feature such as a city-related structure, space, or infrastructure element.
  • 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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a002249ee388190a9501ee7630dc658 completed May 10, 2026, 6:14 a.m.
PD Predicate disambiguation batch_6a002189273881909b6b687e2d61f5b1 completed May 10, 2026, 6:11 a.m.
PDg Predicate description generation batch_6a0022494be881908bdf945d2393a40f completed May 10, 2026, 6:14 a.m.
Created at: April 29, 2026, 8:36 p.m.