Triple

T26409705
Position Surface form Disambiguated ID Type / Status
Subject Republic of Benin government E663924 entity
Predicate judicialBranch P479 FINISHED
Object Supreme Court of Benin
The Supreme Court of Benin is the highest judicial authority in Benin, responsible for overseeing the application of law and ensuring the proper administration of justice across the country.
E1728561 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: Supreme Court of Benin | Statement: [Republic of Benin government, judicialBranch, Supreme Court of Benin]
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: Supreme Court of Benin
Triple: [Republic of Benin government, judicialBranch, Supreme Court of Benin]
Generated description
The Supreme Court of Benin is the highest judicial authority in Benin, responsible for overseeing the application of law and ensuring the proper administration of justice across the country.

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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61130742c819090e8a55ea2f25145 completed May 2, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb10a3c081908895c846894ea743 completed May 23, 2026, 2:34 p.m.
NEDg Description generation batch_6a11be5f621881908d83370dd283a10f completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf7e1de48190ba8ed044628d5bf7 completed May 23, 2026, 2:53 p.m.
Created at: April 26, 2026, 11:37 p.m.