Triple

T11876778
Position Surface form Disambiguated ID Type / Status
Subject HEP Five E282547 entity
Predicate viewFromFerrisWheel P9193 FINISHED
Object Osaka cityscape 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: Osaka cityscape | Statement: [HEP Five, viewFromFerrisWheel, Osaka cityscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewFromFerrisWheel
Context triple: [HEP Five, viewFromFerrisWheel, Osaka cityscape]
  • A. viewOver
    Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
  • B. towerViews
    Indicates that a tower provides a view of, or overlooks, a particular place or object.
  • C. hasViewingPlatform
    Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
  • D. hasScenicViewOf chosen
    Indicates that one entity offers a visually appealing or picturesque view of another entity.
  • E. viewIs
    Indicates that one entity is a visual representation or perspective of another entity.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb272f88819090c37c944c5a60ab completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.