Triple

T5512089
Position Surface form Disambiguated ID Type / Status
Subject Colonial Williamsburg E144587 entity
Predicate hasOriginalBuildings P65169 FINISHED
Object dozens of original 18th-century structures 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: dozens of original 18th-century structures | Statement: [Colonial Williamsburg, hasOriginalBuildings, dozens of original 18th-century structures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalBuildings
Context triple: [Colonial Williamsburg, hasOriginalBuildings, dozens of original 18th-century structures]
  • A. originalBuilding
    Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
  • B. originalBuildingConstructed
    Indicates that a particular building was initially constructed in its original form or configuration.
  • C. buildingArchitectOfOriginal
    Indicates that an entity is the architect responsible for the original design of a particular building.
  • D. originallyBuilt
    Indicates that one entity was the first or initial builder or constructor of another entity.
  • E. originalBuildingType
    Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f581c5081909a8f6d4653edb125 completed March 22, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69c01b07bde08190b3933b96bdc70dd5 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f051e508190b3886d87b4afdd0b completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:33 p.m.