Triple

T24968034
Position Surface form Disambiguated ID Type / Status
Subject Red Wing, Minnesota E624800 entity
Predicate knownFor P22 FINISHED
Object Red Wing Pottery
Red Wing Pottery is a historic American ceramics manufacturer renowned for its stoneware, art pottery, and dinnerware produced in Red Wing, Minnesota.
 E1659895 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: Red Wing Pottery | Statement: [Red Wing, Minnesota, knownFor, Red Wing Pottery]
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: Red Wing Pottery
Triple: [Red Wing, Minnesota, knownFor, Red Wing Pottery]
Generated description
Red Wing Pottery is a historic American ceramics manufacturer renowned for its stoneware, art pottery, and dinnerware produced in Red Wing, Minnesota.

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_69e2ff24512481908e9a72315b8d0354 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f444da32748190a155dc92632bb585 completed May 1, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103357811881908096663a897f6a28 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10345c68048190a7893610c58ec54c completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034fb076881908947b97895c6bbc1 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 6 a.m.