Triple

T10280380
Position Surface form Disambiguated ID Type / Status
Subject Tunku Kurshiah E241083 entity
Predicate name P16 FINISHED
Object Tunku Kurshiah E241083 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: Tunku Kurshiah | Statement: [Tunku Kurshiah, name, Tunku Kurshiah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunku Kurshiah
Context triple: [Tunku Kurshiah, name, Tunku Kurshiah]
  • A. Tunku Kurshiah chosen
    Tunku Kurshiah was a Malaysian royal consort who served as the first Raja Permaisuri Agong (Queen) of Malaysia and was the mother of Tuanku Ja’afar.
  • B. Tunku Jawahir
    Tunku Jawahir is a member of the Negeri Sembilan royal family and a daughter of Tuanku Najihah, the former Raja Permaisuri Agong of Malaysia.
  • C. Tunku Nazaruddin
    Tunku Nazaruddin is a Malaysian royal figure, known as a member of the Negeri Sembilan royal family.
  • D. Tunku Naquiyuddin
    Tunku Naquiyuddin is a Malaysian royal figure and businessman, known as a prominent member of the Negeri Sembilan royal family.
  • E. Tunku Irinah
    Tunku Irinah is a member of the Negeri Sembilan royal family of Malaysia, known as a daughter of Tuanku Najihah, the former Raja Permaisuri Agong (Queen) of Malaysia.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9336139088190bd9ea3e2333c59cb completed April 10, 2026, 5:29 p.m.
Created at: April 6, 2026, 11:38 a.m.