Triple

T8130566
Position Surface form Disambiguated ID Type / Status
Subject Tunku Abdul Rahman E189842 entity
Predicate birthPlace P1 FINISHED
Object Alor Setar E247312 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: Alor Setar | Statement: [Tunku Abdul Rahman, birthPlace, Alor Setar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alor Setar
Context triple: [Tunku Abdul Rahman, birthPlace, Alor Setar]
  • A. Alor Setar chosen
    Alor Setar is a major city in northwestern Peninsular Malaysia known as an administrative, cultural, and commercial hub near the border with Thailand.
  • B. Shah Alam
    Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
  • C. Sungai Petani
    Sungai Petani is a major commercial and residential town in the Malaysian state of Kedah, known as one of its largest and most rapidly developing urban centers.
  • D. Kuantan
    Kuantan is a coastal city on the east coast of Peninsular Malaysia known as a major economic and cultural center and gateway to the South China Sea.
  • E. Kuala Kangsar
    Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b7dbd881908a80f23090596eae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.