Triple

T14928704
Position Surface form Disambiguated ID Type / Status
Subject Logan County, Colorado E372200 entity
Predicate hasMajorHighway P385 FINISHED
Object U.S. Highway 6
U.S. Highway 6 is a major east–west United States highway that stretches from Massachusetts to California, passing through numerous states across the country.
 E2294450 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: U.S. Highway 6 | Statement: [Logan County, Colorado, hasMajorHighway, U.S. Highway 6]
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: U.S. Highway 6
Triple: [Logan County, Colorado, hasMajorHighway, U.S. Highway 6]
Generated description
U.S. Highway 6 is a major east–west United States highway that stretches from Massachusetts to California, passing through numerous states across the country.

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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7bec0f58a88190927b5fae86ca7725 completed Aug. 12, 2026, 3:44 a.m.
NEDg Description generation batch_6a7beca0fa648190afffcd1eadf05a5d completed Aug. 12, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_6a7becef46888190ab980096ad35877c completed Aug. 12, 2026, 3:47 a.m.
Created at: April 10, 2026, 2:36 a.m.