Triple

T28663642
Position Surface form Disambiguated ID Type / Status
Subject Minister Presidents of the Western German Länder E725529 entity
Predicate hasMember P10 FINISHED
Object Minister President of Hamburg
The Minister President of Hamburg is the head of government of the German city-state of Hamburg, responsible for leading its executive branch and representing it at the federal level.
E1836617 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: Minister President of Hamburg | Statement: [Minister Presidents of the Western German Länder, hasMember, Minister President of Hamburg]
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: Minister President of Hamburg
Triple: [Minister Presidents of the Western German Länder, hasMember, Minister President of Hamburg]
Generated description
The Minister President of Hamburg is the head of government of the German city-state of Hamburg, responsible for leading its executive branch and representing it at the federal level.

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_69f01d85be388190b669a0e401e2f2c4 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f655a20eb8819088aef0134fc6799a completed May 2, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb89d7f48190a57088805d0100cc completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24bfb0987c819089a6705bb5282c4e completed June 7, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a24c54a5d648190b33935999d8f5f04 completed June 7, 2026, 1:11 a.m.
Created at: April 28, 2026, 4:59 a.m.