Triple

T5208876
Position Surface form Disambiguated ID Type / Status
Subject P.T. Barnum’s Iranistan (Bridgeport, Connecticut) E117578 entity
Predicate hasStyleInfluenceFrom P8654 FINISHED
Object Islamic architecture 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: Islamic architecture | Statement: [P.T. Barnum’s Iranistan (Bridgeport, Connecticut), hasStyleInfluenceFrom, Islamic architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStyleInfluenceFrom
Context triple: [P.T. Barnum’s Iranistan (Bridgeport, Connecticut), hasStyleInfluenceFrom, Islamic architecture]
  • A. usesAsStyleOf
    Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
  • B. hasGenreInfluenceOn
    Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
  • C. relatedStyle chosen
    Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
  • D. hasEnduringInfluenceOn
    Indicates that one entity exerts a lasting, long-term impact on another entity’s state, development, or behavior.
  • E. influencedArtist
    Indicates that one artist has had a significant impact on the style, work, or development of another artist.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a6f0ffc819090b8b59fc22f4dae completed March 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:47 p.m.