Triple

T10047440
Position Surface form Disambiguated ID Type / Status
Subject Titiwangsa Mountains E207651 entity
Predicate contains P35 FINISHED
Object Genting Highlands E204822 NE 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: Genting Highlands | Statement: [Titiwangsa Mountains, contains, Genting Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genting Highlands
Context triple: [Titiwangsa Mountains, contains, Genting Highlands]
  • A. Genting Highlands chosen
    Genting Highlands is a popular Malaysian hill resort known for its cool climate, casinos, theme parks, and entertainment complexes.
  • B. Genting Grand
    Genting Grand is a prominent luxury hotel and casino complex located within the Genting Highlands resort in Malaysia.
  • C. Genting SkyWorlds
    Genting SkyWorlds is an outdoor theme park in Malaysia featuring movie-inspired attractions and rides, located within the Genting Highlands resort complex.
  • D. Genting Snow Park
    Genting Snow Park is a winter sports venue in Zhangjiakou, China, known for hosting major international snowboard and freestyle skiing competitions, including events at the 2022 Winter Olympics.
  • E. Resorts World Sentosa
    Resorts World Sentosa is a major integrated resort on Singapore’s Sentosa Island, featuring hotels, a casino, theme parks, and various entertainment and dining attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5676eac81909d50bfa7633b6ebe completed April 5, 2026, 10:42 p.m.
Created at: March 30, 2026, 8:56 p.m.