Triple

T29321560
Position Surface form Disambiguated ID Type / Status
Subject Undang of Johol E743527 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Johol district
Johol district is an administrative area in Negeri Sembilan, Malaysia, historically associated with the traditional chieftaincy of the Undang of Johol.
E1863108 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: Johol district | Statement: [Undang of Johol, locatedInAdministrativeTerritorialEntity, Johol district]
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: Johol district
Triple: [Undang of Johol, locatedInAdministrativeTerritorialEntity, Johol district]
Generated description
Johol district is an administrative area in Negeri Sembilan, Malaysia, historically associated with the traditional chieftaincy of the Undang of Johol.

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_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 28, 2026, 1:23 p.m.