Triple

T11191497
Position Surface form Disambiguated ID Type / Status
Subject Catania archaeological area E264812 entity
Predicate showsUrbanElement P1495 FINISHED
Object theatre district 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: theatre district | Statement: [Catania archaeological area, showsUrbanElement, theatre district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsUrbanElement
Context triple: [Catania archaeological area, showsUrbanElement, theatre district]
  • A. isUrbanSee
    Indicates a relationship where a location or area is recognized or classified as an urban settlement or city-like 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. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • D. isUrbanForm
    Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
  • E. urbanDesignElement
    Indicates a relationship where something functions as a designed feature or component that shapes the form, use, or experience of an urban environment.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8af18e4819091811bca657c9cb0 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf4461c8190af84060f7db83211 completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:29 p.m.