Triple

T31019230
Position Surface form Disambiguated ID Type / Status
Subject Utah state roads E790406 entity
Predicate hasComponent P35 FINISHED
Object Utah State Route 265
Utah State Route 265 is a state highway in Utah that serves as an east–west arterial route connecting major roads and communities in Utah County.
 E1996625 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: Utah State Route 265 | Statement: [Utah state roads, hasComponent, Utah State Route 265]
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: Utah State Route 265
Triple: [Utah state roads, hasComponent, Utah State Route 265]
Generated description
Utah State Route 265 is a state highway in Utah that serves as an east–west arterial route connecting major roads and communities in Utah County.

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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6948dcf6081909a7219c73534dc11 completed May 3, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b613034819097cc2227c6a24cc4 completed June 14, 2026, 11:38 p.m.
NEDg Description generation batch_6a2f3c03822481908f8d5f6f99dea110 completed June 14, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ece580081909ccc97a87984e251 completed June 14, 2026, 11:52 p.m.
Created at: April 29, 2026, 8:58 p.m.