Triple

T33939032
Position Surface form Disambiguated ID Type / Status
Subject Panama, New York E870112 entity
Predicate roadAccessVia P9041 FINISHED
Object New York State Route 474
New York State Route 474 is a state highway in western New York that runs through Chautauqua County, providing regional connectivity between rural communities and linking to routes toward Pennsylvania.
 E2295220 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 474 | Statement: [Panama, New York, roadAccessVia, New York State Route 474]
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 474
Triple: [Panama, New York, roadAccessVia, New York State Route 474]
Generated description
New York State Route 474 is a state highway in western New York that runs through Chautauqua County, providing regional connectivity between rural communities and linking to routes toward Pennsylvania.

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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702336e3481908b826aa5a453c9f5 completed May 3, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7d20a23e94819098d17e9567b934ed completed Aug. 13, 2026, 1:40 a.m.
NEDg Description generation batch_6a7d2110cf9c8190a12475b02ff4fec0 completed Aug. 13, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a7d215ea8748190b775459957a88c5c completed Aug. 13, 2026, 1:43 a.m.
Created at: May 1, 2026, 1:49 a.m.