Triple

T23995857
Position Surface form Disambiguated ID Type / Status
Subject Michigan municipalities E605187 entity
Predicate legalFramework P125 FINISHED
Object Charter Township Act
The Charter Township Act is a Michigan state law that defines the powers, governance structure, and protections of charter townships as a form of local government.
E1614721 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: Charter Township Act | Statement: [Michigan municipalities, legalFramework, Charter Township Act]
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: Charter Township Act
Triple: [Michigan municipalities, legalFramework, Charter Township Act]
Generated description
The Charter Township Act is a Michigan state law that defines the powers, governance structure, and protections of charter townships as a form of local government.

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_69e295463f7c8190b1c19dbd114641b9 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d38ec7cc8190b91cfa09f88dacc6 completed April 29, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e92ea488190b66bab1300dcfccc completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f6e3808819084a560d1a0048882 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f801bcc9c81908bbb270d7e762c11 completed May 21, 2026, 9:58 p.m.
Created at: April 17, 2026, 9:38 p.m.