Triple

T30594910
Position Surface form Disambiguated ID Type / Status
Subject Wilmington, New York E778756 entity
Predicate transportationAccess P941 FINISHED
Object New York State Route 431
New York State Route 431 is a scenic mountain highway in northern New York that climbs Whiteface Mountain and provides access to popular recreational and ski areas.
 E2293608 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 431 | Statement: [Wilmington, New York, transportationAccess, New York State Route 431]
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 431
Triple: [Wilmington, New York, transportationAccess, New York State Route 431]
Generated description
New York State Route 431 is a scenic mountain highway in northern New York that climbs Whiteface Mountain and provides access to popular recreational and ski areas.

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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6897d5cb48190b5d802f755747966 completed May 2, 2026, 11:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ac99397b08190b5f9279875833b6c completed Aug. 11, 2026, 7:04 a.m.
NEDg Description generation batch_6a7aca6d0c188190b2397499aa049aad completed Aug. 11, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_6a7aca982b808190889c7dffbbf77f51 completed Aug. 11, 2026, 7:09 a.m.
Created at: April 29, 2026, 8:24 p.m.