Triple

T4574285
Position Surface form Disambiguated ID Type / Status
Subject Yusof Ishak E123105 entity
Predicate placeOfBirth P1 FINISHED
Object Kuala Kangsar, Perak E224909 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: Kuala Kangsar, Perak | Statement: [Yusof Ishak, placeOfBirth, Kuala Kangsar, Perak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuala Kangsar, Perak
Context triple: [Yusof Ishak, placeOfBirth, Kuala Kangsar, Perak]
  • A. Kuala Kangsar chosen
    Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
  • B. Kuala Perlis
    Kuala Perlis is a small coastal town in Malaysia known as a key ferry gateway to the resort island of Langkawi.
  • C. Kuala Terengganu
    Kuala Terengganu is a coastal city in northeastern Peninsular Malaysia known for its Islamic heritage architecture, traditional Malay culture, and proximity to popular island destinations.
  • D. Kedah
    Kedah is a state in northwestern Peninsular Malaysia, historically significant as one of the oldest Malay kingdoms and once part of British Malaya.
  • E. Perlis
    Perlis is Malaysia’s smallest state, located in the northern part of the Malay Peninsula bordering Thailand and known for its agricultural landscape and quiet rural character.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c9f0bc81908d87f01ab067818a completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3dde41c81909adf91b53450e590 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.