Triple

T35057382
Position Surface form Disambiguated ID Type / Status
Subject Zendan-e Eskandar E1011503 entity
Predicate religiousCulturalSetting P9028 FINISHED
Object traditional Islamic-Iranian 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 Islamic-Iranian urban fabric | Statement: [Zendan-e Eskandar, religiousCulturalSetting, traditional Islamic-Iranian urban fabric]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCulturalSetting
Context triple: [Zendan-e Eskandar, religiousCulturalSetting, traditional Islamic-Iranian urban fabric]
  • A. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. religiousEnvironment
    Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
  • C. religiousSceneSpecialization
    Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
  • D. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • E. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • 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_69f76dd09c308190a523454853ce842b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff9a25407c81909faa86e72a7a9d17 completed May 9, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69ff99c613688190a03b2f93d5ccad2b completed May 9, 2026, 8:32 p.m.
Created at: May 3, 2026, 4:01 p.m.