Triple

T29321583
Position Surface form Disambiguated ID Type / Status
Subject Undang of Johol E743527 entity
Predicate style P87 FINISHED
Object Yang Teramat Mulia
Yang Teramat Mulia is an honorific royal style used in Malaysia to address certain high-ranking members of the nobility or royalty, denoting great distinction and exalted status.
E1861254 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: Yang Teramat Mulia | Statement: [Undang of Johol, style, Yang Teramat Mulia]
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: Yang Teramat Mulia
Triple: [Undang of Johol, style, Yang Teramat Mulia]
Generated description
Yang Teramat Mulia is an honorific royal style used in Malaysia to address certain high-ranking members of the nobility or royalty, denoting great distinction and exalted status.

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_69f09125f784819080f4e9fce9fe624f completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f668933d288190a5c9437db2b9de01 completed May 2, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8702f388190b3e7d79112ab3000 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25aca216088190b6e106c9172f638c completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b14c4f088190afc5aa0e3d78ab43 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 1:23 p.m.