Triple

T32458683
Position Surface form Disambiguated ID Type / Status
Subject Ada East District E829502 entity
Predicate governingBody P46 FINISHED
Object Ada East District Assembly
Ada East District Assembly is the local government authority responsible for administering and developing the Ada East District in Ghana’s Greater Accra Region.
E829502 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: Ada East District Assembly | Statement: [Ada East District, governingBody, Ada East District Assembly]
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: Ada East District Assembly
Triple: [Ada East District, governingBody, Ada East District Assembly]
Generated description
Ada East District Assembly is the local government authority responsible for administering and developing the Ada East District in Ghana’s Greater Accra 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_69f3491df9288190afc0b23b1d6e72ce completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c31c7e888190840849dda3b90fd2 completed May 3, 2026, 3:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34668f77f08190b00bc9dc671c808d completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a3468104f4c8190bfae60a51dee0b35 completed June 18, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a346ae8a91081909a10179607fe69a8 completed June 18, 2026, 10:02 p.m.
Created at: May 1, 2026, 12:56 a.m.