Triple

T8604758
Position Surface form Disambiguated ID Type / Status
Subject Sultan of Perak E203768 entity
Predicate seat P75 FINISHED
Object Kuala Kangsar 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 | Statement: [Sultan of Perak, seat, Kuala Kangsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuala Kangsar
Context triple: [Sultan of Perak, seat, Kuala Kangsar]
  • 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. Seremban
    Seremban is the capital city of the Malaysian state of Negeri Sembilan, known as an administrative, commercial, and cultural center in the western part of Peninsular Malaysia.
  • C. Kuala Pilah
    Kuala Pilah is a historic inland town in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and role as an administrative and commercial center for the surrounding rural district.
  • D. Batu Pahat
    Batu Pahat is a coastal town and important commercial and industrial hub in the Malaysian state of Johor.
  • E. Kertajaya
    Kertajaya was a 13th-century king of the Kediri Kingdom in Java, remembered for his conflict with the emerging Singhasari kingdom and his role in the region’s political transition.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dd8ff8819081ef269192047488 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb759f6c819085939e38e0281361 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:24 p.m.