Triple

T30035205
Position Surface form Disambiguated ID Type / Status
Subject Suffolk County road network E763136 entity
Predicate hasComponent P35 FINISHED
Object Suffolk County Route 115
Suffolk County Route 115 is a designated county highway in Suffolk County, New York, serving as part of the local road network that connects communities and regional routes.
E1942719 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: Suffolk County Route 115 | Statement: [Suffolk County road network, hasComponent, Suffolk County Route 115]
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: Suffolk County Route 115
Triple: [Suffolk County road network, hasComponent, Suffolk County Route 115]
Generated description
Suffolk County Route 115 is a designated county highway in Suffolk County, New York, serving as part of the local road network that connects communities and regional routes.

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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f679d37ea4819096dd4a2352798748 completed May 2, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a291805f9f8819090d41c76900be75a completed June 10, 2026, 7:53 a.m.
NEDg Description generation batch_6a2918f4ee448190baf0697c0a4bac1c completed June 10, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a291bbf5db88190b416bbf549343a86 completed June 10, 2026, 8:09 a.m.
Created at: April 29, 2026, 6:51 p.m.