Triple

T5343943
Position Surface form Disambiguated ID Type / Status
Subject Government of Malaysia E124006 entity
Predicate alsoGovernsFrom P6175 FINISHED
Object Kuala Lumpur E45064 NE FINISHED

How this triple was built (3 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 | Statement: [Government of Malaysia, alsoGovernsFrom, Kuala Lumpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuala Lumpur
Context triple: [Government of Malaysia, alsoGovernsFrom, Kuala Lumpur]
  • A. Kuala Lumpur chosen
    Kuala Lumpur is the capital and largest city of Malaysia, known for its modern skyline dominated by the Petronas Twin Towers and its role as the country’s cultural, financial, and economic center.
  • B. Putrajaya
    Putrajaya is Malaysia’s planned federal administrative capital, known for its modern architecture, landscaped boulevards, and numerous government complexes.
  • C. Johor Bahru
    Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
  • D. Kota Kinabalu
    Kota Kinabalu is a coastal city in Malaysian Borneo known as the gateway to Mount Kinabalu and the biodiverse rainforests and marine parks of Sabah.
  • E. Shah Alam
    Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoGovernsFrom
Context triple: [Government of Malaysia, alsoGovernsFrom, Kuala Lumpur]
  • A. governedFrom chosen
    Indicates that an entity exercises governing authority or administrative control over another entity from a specific location or seat of power.
  • B. governedThrough
    Indicates that one entity exercises control, authority, or administration over another entity by means of a specified intermediary mechanism, structure, or process.
  • C. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • D. governedInPartBy
    Indicates that something is subject to the authority, control, or influence of a governing entity, but only to a limited or partial extent rather than fully.
  • E. governedWith
    Indicates that two or more entities share or participate together in the act or process of governing.
  • F. None of above.

Provenance (4 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85e86edc81908d87933db6489f91 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291296d48190a33a1d1f45e925ab completed March 21, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69bd845a62b081909782863865b257a9 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.