Triple

T34813717
Position Surface form Disambiguated ID Type / Status
Subject Ede North Local Government Area E1003567 entity
Predicate stateConstituency P19338 FINISHED
Object Ede North State Constituency
Ede North State Constituency is a legislative electoral district in Osun State, Nigeria, represented in the State House of Assembly.
E2113673 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: Ede North State Constituency | Statement: [Ede North Local Government Area, stateConstituency, Ede North State Constituency]
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: Ede North State Constituency
Triple: [Ede North Local Government Area, stateConstituency, Ede North State Constituency]
Generated description
Ede North State Constituency is a legislative electoral district in Osun State, Nigeria, represented in the State House of Assembly.

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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ab7dfc881909a78153e8a1440b9 completed May 3, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fb3568081908c8ce4c8e76747e4 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3770687b8c8190b271515f54eed3b8 completed June 21, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_6a37719691ac8190bc3ad20af00b1cf2 completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 3:59 p.m.