Triple

T16854847
Position Surface form Disambiguated ID Type / Status
Subject Path of Illumination E409756 entity
Predicate receptionAspect P125245 FINISHED
Object inspired tourism to featured Roman sites 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: inspired tourism to featured Roman sites | Statement: [Path of Illumination, receptionAspect, inspired tourism to featured Roman sites]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receptionAspect
Context triple: [Path of Illumination, receptionAspect, inspired tourism to featured Roman sites]
  • A. reception
    Indicates the act of receiving or welcoming someone or something, often marking the initial acknowledgment or acceptance in an interaction or process.
  • B. initialReception
    Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
  • C. hasReception
    Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
  • D. receptionInWest
    Indicates how something is received, interpreted, or responded to within Western societies or contexts.
  • E. coversAspect
    Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37c6e808190975b14b228253029 completed April 18, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e355722040819098830dabf207ecd6 completed April 18, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:24 a.m.