Triple

T33009975
Position Surface form Disambiguated ID Type / Status
Subject Sultan Muhammad V of Kelantan E844613 entity
Predicate successorAsYangDiPertuanAgong P81850 FINISHED
Object Abdullah of Pahang
Abdullah of Pahang is the Sultan of the Malaysian state of Pahang who became the 16th Yang di-Pertuan Agong (King) of Malaysia.
E2286844 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: Abdullah of Pahang | Statement: [Sultan Muhammad V of Kelantan, successorAsYangDiPertuanAgong, Abdullah of Pahang]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abdullah of Pahang
Triple: [Sultan Muhammad V of Kelantan, successorAsYangDiPertuanAgong, Abdullah of Pahang]
Generated description
Abdullah of Pahang is the Sultan of the Malaysian state of Pahang who became the 16th Yang di-Pertuan Agong (King) of Malaysia.

Provenance (5 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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d27eeb708190a7d9848430a3e43c completed May 3, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a472f9bc0d88190906110416c5eccff completed July 3, 2026, 3:42 a.m.
NEDg Description generation batch_6a47301cc2c8819094f7f27a3ebb0852 completed July 3, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_6a47311026a481908a82fef2a5ced42f completed July 3, 2026, 3:48 a.m.
Created at: May 1, 2026, 1:23 a.m.