Triple

T3502156
Position Surface form Disambiguated ID Type / Status
Subject Tower 2 E73993 entity
Predicate hasObservationDeckView P9193 FINISHED
Object Kuala Lumpur 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: Kuala Lumpur cityscape | Statement: [Tower 2, hasObservationDeckView, Kuala Lumpur cityscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasObservationDeckView
Context triple: [Tower 2, hasObservationDeckView, Kuala Lumpur cityscape]
  • A. hasObservationDeckAccess
    Indicates that an entity is permitted to enter or use an observation deck.
  • B. numberOfObservationDecks
    Indicates the count of observation decks associated with or present in an entity.
  • C. observationDeckHeight
    Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
  • D. hasScenicViewOf chosen
    Indicates that one entity offers a visually appealing or picturesque view of another entity.
  • E. hasViewingPlatform
    Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbef47988190b5b3fe2e452b9ac8 completed March 8, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69adae0cd8b0819099da300af09880da completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.