Triple

T30886643
Position Surface form Disambiguated ID Type / Status
Subject Minnesota State Highway 100 E786784 entity
Predicate knownFor P22 FINISHED
Object Lilac Way
Lilac Way is a historic, landscaped section of Minnesota’s Highway 100 famed for its lilac plantings, roadside parks, and distinctive Depression-era design.
 E2210140 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: Lilac Way | Statement: [Minnesota State Highway 100, knownFor, Lilac Way]
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: Lilac Way
Triple: [Minnesota State Highway 100, knownFor, Lilac Way]
Generated description
Lilac Way is a historic, landscaped section of Minnesota’s Highway 100 famed for its lilac plantings, roadside parks, and distinctive Depression-era design.

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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69206481881909e9f3d0e59c5b889 completed May 3, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c1037bc8190b3b1a596988caae4 completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e980f020c81909e434735858185dd completed June 26, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9cfe6f58819092b1a5031c0b1c84 completed June 26, 2026, 3:38 p.m.
Created at: April 29, 2026, 8:49 p.m.