Triple

T27943157
Position Surface form Disambiguated ID Type / Status
Subject Points, West Virginia E700809 entity
Predicate roadDesignation P1019 FINISHED
Object West Virginia Secondary Route 3
West Virginia Secondary Route 3 is a state-maintained secondary roadway in West Virginia that serves local traffic and connects smaller communities to the primary highway network.
 E1802412 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: West Virginia Secondary Route 3 | Statement: [Points, West Virginia, roadDesignation, West Virginia Secondary Route 3]
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: West Virginia Secondary Route 3
Triple: [Points, West Virginia, roadDesignation, West Virginia Secondary Route 3]
Generated description
West Virginia Secondary Route 3 is a state-maintained secondary roadway in West Virginia that serves local traffic and connects smaller communities to the primary highway network.

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_69ef6a5028108190a14696d9821dde49 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63ace744c819097a669ec6869db8d completed May 2, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8f04f348190b01629d727c35dc3 completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15caed4b148190b42af70ea0f6d872 completed May 26, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_6a15cbdf46208190916381816f411f87 completed May 26, 2026, 4:35 p.m.
Created at: April 27, 2026, 7:19 p.m.