Triple

T15807501
Position Surface form Disambiguated ID Type / Status
Subject Washington State Route 17 E383255 entity
Predicate connectsTo P845 FINISHED
Object State Route 282
State Route 282 is a short state highway in Washington that serves as a connector route near Ephrata in Grant County.
 E1846988 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 282 | Statement: [Washington State Route 17, connectsTo, State Route 282]
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 282
Triple: [Washington State Route 17, connectsTo, State Route 282]
Generated description
State Route 282 is a short state highway in Washington that serves as a connector route near Ephrata in Grant 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a251f3b8b348190bb7398705055dcc1 completed June 7, 2026, 7:35 a.m.
NEDg Description generation batch_6a25233346e08190ae8ddd961a7a0aa6 completed June 7, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_6a2524e8046c81908ce1d256c4efe3d5 completed June 7, 2026, 7:59 a.m.
Created at: April 10, 2026, 4:48 a.m.