Triple

T29796188
Position Surface form Disambiguated ID Type / Status
Subject Connecticut Route 149 E756555 entity
Predicate follows P134 FINISHED
Object Salmon River valley
Salmon River valley is a scenic river valley in eastern Connecticut known for its winding waterway, forested landscapes, and recreational opportunities such as fishing, paddling, and hiking.
 E1886811 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: Salmon River valley | Statement: [Connecticut Route 149, follows, Salmon River valley]
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: Salmon River valley
Triple: [Connecticut Route 149, follows, Salmon River valley]
Generated description
Salmon River valley is a scenic river valley in eastern Connecticut known for its winding waterway, forested landscapes, and recreational opportunities such as fishing, paddling, and hiking.

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_69f22454583081908927516cb9938d1d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674e690f081908e0992c9ae27c71e completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5ec06508190ab92a89a1da45892 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e832cfd48190ba6aca50d75e7d66 completed June 8, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_6a26ea0a856881909d0cfea0f1fa94ec completed June 8, 2026, 4:12 p.m.
Created at: April 29, 2026, 5:15 p.m.