Triple

T15021513
Position Surface form Disambiguated ID Type / Status
Subject Aspmyra Stadion E378093 entity
Predicate hasPitchHeating P34898 FINISHED
Object yes 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: yes | Statement: [Aspmyra Stadion, hasPitchHeating, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPitchHeating
Context triple: [Aspmyra Stadion, hasPitchHeating, yes]
  • A. hasPlatformHeaters
    Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
  • B. hasHeating chosen
    Indicates that an entity is equipped with or provides a heating system or heating capability.
  • C. hasTemperature
    Indicates that an entity possesses or is characterized by a specific temperature value.
  • D. hasThermalCharacteristic
    Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
  • E. operatingTemperature
    Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 2:56 a.m.