Triple

T29915504
Position Surface form Disambiguated ID Type / Status
Subject Pakuan Pajajaran E759784 entity
Predicate governedBy P46 FINISHED
Object Sundanese kings
Sundanese kings were the hereditary monarchs of the Sundanese people in western Java, ruling historical kingdoms such as Pajajaran before the rise of Islamic sultanates in the region.
E1891519 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: Sundanese kings | Statement: [Pakuan Pajajaran, governedBy, Sundanese kings]
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: Sundanese kings
Triple: [Pakuan Pajajaran, governedBy, Sundanese kings]
Generated description
Sundanese kings were the hereditary monarchs of the Sundanese people in western Java, ruling historical kingdoms such as Pajajaran before the rise of Islamic sultanates in the region.

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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6775da3608190874635fb8d58d971 completed May 2, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271417f21c81908d7a820b63d2fafd completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a27162eea248190a3d464ac343d7956 completed June 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a271859acbc8190b25374aefc5379d8 completed June 8, 2026, 7:30 p.m.
Created at: April 29, 2026, 6:12 p.m.