Triple

T11535567
Position Surface form Disambiguated ID Type / Status
Subject RCDE Stadium E273537 entity
Predicate hasRoofCoverage P64883 FINISHED
Object partially covered stands 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: partially covered stands | Statement: [RCDE Stadium, hasRoofCoverage, partially covered stands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoofCoverage
Context triple: [RCDE Stadium, hasRoofCoverage, partially covered stands]
  • A. hasTypeOfRoof
    Indicates that an entity possesses or is characterized by a specific kind or style of roof.
  • B. hasRoofShape
    Indicates that one entity possesses or is characterized by a specific shape or form of roof.
  • C. hasCoverings chosen
    Indicates that one entity possesses or is equipped with protective or enclosing layers, surfaces, or coverings provided by another entity.
  • D. hasCoverage
    Indicates that one entity provides insurance or protection coverage for another entity or subject.
  • E. hasRoofComb
    Indicates that one structure possesses a roof comb feature, i.e., an architectural element rising above the main roofline.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.