Triple

T8863612
Position Surface form Disambiguated ID Type / Status
Subject Cohoes, New York E210952 entity
Predicate hasTransportation P105 FINISHED
Object New York State Route 470
New York State Route 470 is a short state highway in New York’s Capital District that connects the city of Cohoes with nearby communities across the Hudson and Mohawk Rivers.
E2296946 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 470 | Statement: [Cohoes, New York, hasTransportation, New York State Route 470]
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 470
Triple: [Cohoes, New York, hasTransportation, New York State Route 470]
Generated description
New York State Route 470 is a short state highway in New York’s Capital District that connects the city of Cohoes with nearby communities across the Hudson and Mohawk Rivers.

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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610416b48190a26f0c457089ffca completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82df6190008190b892779f3532353d completed Aug. 17, 2026, 10:16 a.m.
NEDg Description generation batch_6a82dfe84dc4819085ea37ea7f251e96 completed Aug. 17, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a82e17e48c481908900fffce6a25d23 completed Aug. 17, 2026, 10:25 a.m.
Created at: March 30, 2026, 6:50 p.m.