Triple

T7189362
Position Surface form Disambiguated ID Type / Status
Subject HolyMosqueExpansionProjects E167647 entity
Predicate hasDesignConsideration P75654 FINISHED
Object preservation of Islamic architectural character 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: preservation of Islamic architectural character | Statement: [HolyMosqueExpansionProjects, hasDesignConsideration, preservation of Islamic architectural character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDesignConsideration
Context triple: [HolyMosqueExpansionProjects, hasDesignConsideration, preservation of Islamic architectural character]
  • A. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • B. hasDesignOption
    Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
  • C. hasDesignIntent
    Indicates that one entity embodies or reflects the planned purpose, function, or conceptual intent defined by another entity.
  • D. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • E. hasDesignTradeoff
    Indicates that one design choice involves compromises or conflicting benefits and drawbacks relative to other possible designs.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ff1ad0819094761f8c73e3e986 completed March 27, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
PDg Predicate description generation batch_69c6e8b5f6508190af28e06a7959d717 completed March 27, 2026, 8:29 p.m.
Created at: March 27, 2026, 2:50 p.m.