Triple

T26395028
Position Surface form Disambiguated ID Type / Status
Subject Patriotic Order of Merit E663523 entity
Predicate follows P134 FINISHED
Object German Democratic Republic Medal for Merit
The German Democratic Republic Medal for Merit was a state honor awarded in East Germany to recognize notable contributions to the socialist state and society.
E1722794 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: German Democratic Republic Medal for Merit | Statement: [Patriotic Order of Merit, follows, German Democratic Republic Medal for Merit]
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: German Democratic Republic Medal for Merit
Triple: [Patriotic Order of Merit, follows, German Democratic Republic Medal for Merit]
Generated description
The German Democratic Republic Medal for Merit was a state honor awarded in East Germany to recognize notable contributions to the socialist state and society.

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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610c2e40c8190b6b1314966e52706 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a850590819087b76e9ed16aee7e completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119c71d29c81909bc7875bad89ce29 completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119d54117c81909ec9709271172d7b completed May 23, 2026, 12:28 p.m.
Created at: April 26, 2026, 11:28 p.m.