Triple

T24174297
Position Surface form Disambiguated ID Type / Status
Subject Minnesota State Highway 5 E599232 entity
Predicate regionServed P82 FINISHED
Object eastern Minnesota
Eastern Minnesota is the portion of the U.S. state of Minnesota that lies along and near its border with Wisconsin, encompassing the Twin Cities metropolitan area and surrounding communities.
E1622163 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: eastern Minnesota | Statement: [Minnesota State Highway 5, regionServed, eastern Minnesota]
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: eastern Minnesota
Triple: [Minnesota State Highway 5, regionServed, eastern Minnesota]
Generated description
Eastern Minnesota is the portion of the U.S. state of Minnesota that lies along and near its border with Wisconsin, encompassing the Twin Cities metropolitan area and surrounding communities.

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_69e288cca05481908faeb1563711114a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e17cd1f0819094d049ed2ee0766e completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad3f4438819098c190831277af5c completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae9a10808190b4cc48c27f174428 completed May 22, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0fb006f43481908b4a3f3b20b29da7 completed May 22, 2026, 1:23 a.m.
Created at: April 17, 2026, 11:33 p.m.