Triple

T18592671
Position Surface form Disambiguated ID Type / Status
Subject Vista, New York E454407 entity
Predicate roadAccess P385 FINISHED
Object New York State Route 123
New York State Route 123 is a short state highway in Westchester County, New York, connecting the hamlet of Vista to nearby communities and major local roads.
 E2099704 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 123 | Statement: [Vista, New York, roadAccess, New York State Route 123]
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 123
Triple: [Vista, New York, roadAccess, New York State Route 123]
Generated description
New York State Route 123 is a short state highway in Westchester County, New York, connecting the hamlet of Vista to nearby communities and major local roads.

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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3729b8e0b08190a930e4d355b143f8 completed June 21, 2026, midnight
NEDg Description generation batch_6a372beefb9081908c8fe969e86599c4 completed June 21, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a372cb51db48190825e0b9114b84c4a completed June 21, 2026, 12:13 a.m.
Created at: April 10, 2026, 11:44 a.m.