Triple

T29968411
Position Surface form Disambiguated ID Type / Status
Subject Downsville, New York E761252 entity
Predicate locatedAlong P2409 FINISHED
Object New York State Route 206
New York State Route 206 is an east–west state highway in New York that traverses rural areas of the Southern Tier and Catskills, connecting several small towns and communities.
E2293369 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 206 | Statement: [Downsville, New York, locatedAlong, New York State Route 206]
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 206
Triple: [Downsville, New York, locatedAlong, New York State Route 206]
Generated description
New York State Route 206 is an east–west state highway in New York that traverses rural areas of the Southern Tier and Catskills, connecting several small towns and communities.

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_69f22467626081908d5afea489590e96 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6786c984c8190b7668a6232901b30 completed May 2, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a996cfa34819095b329ca03f10135 completed Aug. 11, 2026, 3:39 a.m.
NEDg Description generation batch_6a7a9d453c50819093fc9b101bf78f53 completed Aug. 11, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a7a9dceb98081908bbc13b14e1988ec completed Aug. 11, 2026, 3:58 a.m.
Created at: April 29, 2026, 6:31 p.m.