Triple

T24185663
Position Surface form Disambiguated ID Type / Status
Subject Workers' Party of Ethiopia government E599548 entity
Predicate legislature P239 FINISHED
Object National Shengo
The National Shengo was the supreme legislative body of socialist Ethiopia under the Workers' Party of Ethiopia, functioning as a rubber-stamp parliament during the Derg-era one-party state.
E1622764 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: National Shengo | Statement: [Workers' Party of Ethiopia government, legislature, National Shengo]
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: National Shengo
Triple: [Workers' Party of Ethiopia government, legislature, National Shengo]
Generated description
The National Shengo was the supreme legislative body of socialist Ethiopia under the Workers' Party of Ethiopia, functioning as a rubber-stamp parliament during the Derg-era one-party state.

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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e1d8ccb8819096880d18d8818382 completed April 29, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad469fdc8190ab6c0fcbb30d5ade completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fb28b669c8190b6558d8a3a8f8a69 completed May 22, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0fb2f1cfdc81909817839ef4a31f33 completed May 22, 2026, 1:35 a.m.
Created at: April 17, 2026, 11:35 p.m.