Triple

T12343140
Position Surface form Disambiguated ID Type / Status
Subject Universiti Tunku Abdul Rahman (Kampar campus nearby region) E294281 entity
Predicate locatedIn P40 FINISHED
Object Kampar E546665 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: Kampar | Statement: [Universiti Tunku Abdul Rahman (Kampar campus nearby region), locatedIn, Kampar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampar
Context triple: [Universiti Tunku Abdul Rahman (Kampar campus nearby region), locatedIn, Kampar]
  • A. Kampar chosen
    Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
  • B. Rantau
    Rantau is a state constituency in Malaysia’s Negeri Sembilan state, represented in the Negeri Sembilan State Legislative Assembly.
  • C. Rantau
    Rantau is a town in South Kalimantan, Indonesia, known as an administrative and economic center in the region.
  • D. Kuala Tembeling
    Kuala Tembeling is a riverside village in Pahang, Malaysia, best known as the main river jetty and gateway for visitors traveling by boat into Taman Negara National Park.
  • E. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f78a970819086beec3e4da8c49e completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aaa1d548190be065412aab70385 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.