Triple

T1973506
Position Surface form Disambiguated ID Type / Status
Subject Column of Phocas E42852 entity
Predicate constructionReuse P21235 FINISHED
Object reused earlier Roman column shaft 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: reused earlier Roman column shaft | Statement: [Column of Phocas, constructionReuse, reused earlier Roman column shaft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: constructionReuse
Context triple: [Column of Phocas, constructionReuse, reused earlier Roman column shaft]
  • A. reusability
    Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
  • B. constructionType
    Indicates the specific method or style by which something is built or constructed.
  • C. buildingCondition
    Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
  • D. designedForReusability chosen
    Indicates that something has been intentionally created or configured so it can be used multiple times without needing to be discarded or fundamentally rebuilt.
  • E. hasLandReclamation
    Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.