Triple

T36519486
Position Surface form Disambiguated ID Type / Status
Subject Sultan Abdul Samad of Selangor E900136 entity
Predicate burialPlace P196 FINISHED
Object Royal Mausoleum in Jugra
The Royal Mausoleum in Jugra is a historic royal burial site in Selangor, Malaysia, serving as the resting place of several Selangor sultans and members of the royal family.
E2187598 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: Royal Mausoleum in Jugra | Statement: [Sultan Abdul Samad of Selangor, burialPlace, Royal Mausoleum in Jugra]
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: Royal Mausoleum in Jugra
Triple: [Sultan Abdul Samad of Selangor, burialPlace, Royal Mausoleum in Jugra]
Generated description
The Royal Mausoleum in Jugra is a historic royal burial site in Selangor, Malaysia, serving as the resting place of several Selangor sultans and members of the royal family.

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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c1f56d34819096b2aff9867eba7e completed May 3, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbdfc8208190abf594568c353010 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dd5a787c819089c278f86de8078c completed June 23, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_6a39e17ec0f08190acfb9ec12f86249d completed June 23, 2026, 1:29 a.m.
Created at: May 3, 2026, 4:11 p.m.