Triple

T5868432
Position Surface form Disambiguated ID Type / Status
Subject Great New Orleans Fire of 1788 E130452 entity
Predicate reconstructionInfluence P67598 FINISHED
Object Spanish colonial 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: Spanish colonial architecture | Statement: [Great New Orleans Fire of 1788, reconstructionInfluence, Spanish colonial architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reconstructionInfluence
Context triple: [Great New Orleans Fire of 1788, reconstructionInfluence, Spanish colonial architecture]
  • A. reconstructedIn
    Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
  • B. reconstructionFor
    Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
  • C. reconstructionPeriod
    Indicates a time span during which something that was damaged, destroyed, or altered is being rebuilt, restored, or substantially repaired.
  • D. reconstructedDuring
    Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
  • E. reconstructionFeature
    Indicates that one entity serves as a feature, component, or characteristic used in the reconstruction or restoration of another entity.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ffaef081909faaa7f420a3b9b7 completed March 22, 2026, 7:37 p.m.
PD Predicate disambiguation batch_69c03347e51c81909053bcf34e3b88ab completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c044fe17d08190b9bf47b13863ef52 completed March 22, 2026, 7:37 p.m.
Created at: March 22, 2026, 3:56 p.m.