Triple

T22121022
Position Surface form Disambiguated ID Type / Status
Subject Kampar E546665 entity
Predicate locatedNear P294 FINISHED
Object Ipoh NE NERFINISHED

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: Ipoh | Statement: [Kampar, locatedNear, Ipoh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ipoh
Context triple: [Kampar, locatedNear, Ipoh]
  • A. Ipoh chosen
    Ipoh is a prominent city in northwestern Peninsular Malaysia, known for its colonial-era architecture, limestone hills and caves, and vibrant food scene.
  • B. Gopeng
    Gopeng is a historic tin-mining town in the Kinta Valley of Perak, Malaysia, known today for its nearby caves, waterfalls, and outdoor adventure tourism.
  • C. Kota Bharu
    Kota Bharu is a major city in northeastern Peninsular Malaysia known for its rich Malay culture, traditional markets, and role as the administrative and commercial center of Kelantan state.
  • D. Kuala Kangsar
    Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
  • E. Kuching
    Kuching is the capital and largest city of the Malaysian state of Sarawak on the island of Borneo, known for its diverse culture, colonial architecture, and proximity to rainforest and wildlife attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12951fcd48190841319cd879c15cb completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.