Triple

T31120080
Position Surface form Disambiguated ID Type / Status
Subject Michigan congressional delegation E793197 entity
Predicate seeAlso P37 FINISHED
Object Politics of Michigan
Politics of Michigan encompasses the structure, processes, and partisan dynamics of government and elections in the U.S. state of Michigan, including its executive, legislative, and judicial branches as well as its role in national politics.
E93035 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: Politics of Michigan | Statement: [Michigan congressional delegation, seeAlso, Politics of Michigan]
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: Politics of Michigan
Triple: [Michigan congressional delegation, seeAlso, Politics of Michigan]
Generated description
Politics of Michigan encompasses the structure, processes, and partisan dynamics of government and elections in the U.S. state of Michigan, including its executive, legislative, and judicial branches as well as its role in national politics.

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_69f224d0a7688190af3fe3e6e26d01ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f696ecf1c08190a8fa245e3f97a5e7 completed May 3, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2938bf1b008190bc564faa0d2ffa00 completed June 10, 2026, 10:13 a.m.
NEDg Description generation batch_6a293a06fef08190b9e8b9d10dba3cef completed June 10, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a293a9c8cdc8190aceb7ddf2ae5e038 completed June 10, 2026, 10:21 a.m.
Created at: April 29, 2026, 9:04 p.m.