Triple

T20731934
Position Surface form Disambiguated ID Type / Status
Subject East Norwich, New York E509592 entity
Predicate hasPrimaryRoad P385 FINISHED
Object New York State Route 106
New York State Route 106 is a north–south state highway on Long Island that connects several Nassau County communities between the South Shore and the North Shore.
 E2283899 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: New York State Route 106 | Statement: [East Norwich, New York, hasPrimaryRoad, New York State Route 106]
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: New York State Route 106
Triple: [East Norwich, New York, hasPrimaryRoad, New York State Route 106]
Generated description
New York State Route 106 is a north–south state highway on Long Island that connects several Nassau County communities between the South Shore and the North Shore.

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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ed7e8c8190974f2eb31a0a3106 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a43093ab65081909b14f6173b60b5b2 completed June 30, 2026, 12:09 a.m.
NEDg Description generation batch_6a430f33ae288190a102127c8ef207ff completed June 30, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a430f91f3e48190b2b3aa15f6deb802 completed June 30, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:31 p.m.