Triple

T23397524
Position Surface form Disambiguated ID Type / Status
Subject M-57 E559401 entity
Predicate hasJunctionWith P1018 FINISHED
Object US Highway 131
US Highway 131 is a north–south U.S. Highway in western Michigan that connects the Indiana state line to the Grand Traverse Bay area, serving cities such as Kalamazoo and Grand Rapids.
 E2295424 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: US Highway 131 | Statement: [M-57, hasJunctionWith, US Highway 131]
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: US Highway 131
Triple: [M-57, hasJunctionWith, US Highway 131]
Generated description
US Highway 131 is a north–south U.S. Highway in western Michigan that connects the Indiana state line to the Grand Traverse Bay area, serving cities such as Kalamazoo and Grand Rapids.

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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dd05cc81908c1e91974ffccf21 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7d53ecbf508190bc10987642f24944 completed Aug. 13, 2026, 5:19 a.m.
NEDg Description generation batch_6a7d5441888481908787d140479d9f25 completed Aug. 13, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a7d5497ab8081909a532f8972557b1e completed Aug. 13, 2026, 5:22 a.m.
Created at: April 17, 2026, 5:37 p.m.