Triple

T24675915
Position Surface form Disambiguated ID Type / Status
Subject Nevada State Route 648 E610983 entity
Predicate abbreviation P43 FINISHED
Object State Route 648
State Route 648 is a short state highway in Nevada that serves as an east–west arterial road in the Reno–Sparks metropolitan area.
 E2291191 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: State Route 648 | Statement: [Nevada State Route 648, abbreviation, State Route 648]
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: State Route 648
Triple: [Nevada State Route 648, abbreviation, State Route 648]
Generated description
State Route 648 is a short state highway in Nevada that serves as an east–west arterial road in the Reno–Sparks metropolitan area.

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_69e2c4d5c2dc8190ac857dea25ec6ce9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40faff7a4819098c8d3616084a52f completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c3837c5fc8190ab599c0305b430a7 completed July 19, 2026, 2:36 a.m.
NEDg Description generation batch_6a5c38858f248190a89e33517b4e5adf completed July 19, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_6a5c38de0df881909c04f2dfc83ab224 completed July 19, 2026, 2:39 a.m.
Created at: April 18, 2026, 3:04 a.m.