Triple

T3784642
Position Surface form Disambiguated ID Type / Status
Subject Santa Maria parish (Tavira) E85500 entity
Predicate hasUrbanFabric P51491 FINISHED
Object traditional urban fabric 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: traditional urban fabric | Statement: [Santa Maria parish (Tavira), hasUrbanFabric, traditional urban fabric]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanFabric
Context triple: [Santa Maria parish (Tavira), hasUrbanFabric, traditional urban fabric]
  • A. hasUrbanFeature
    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.
  • B. 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.
  • C. containsUrbanArea
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • D. hasUrbanClassification
    Indicates that an entity is assigned a specific urban status or category within a defined classification system.
  • E. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee634c6ac819099653c660c286746 completed March 9, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69aee3d3c92c819081d9d5c45ef37a5d completed March 9, 2026, 3:14 p.m.
PDg Predicate description generation batch_69aee633dab88190b14cec8afb19ca6a completed March 9, 2026, 3:24 p.m.
Created at: March 9, 2026, 3:13 p.m.