Triple

T35088616
Position Surface form Disambiguated ID Type / Status
Subject Washington Depot, Connecticut E1012647 entity
Predicate hasTransportation P105 FINISHED
Object Connecticut Route 47
Connecticut Route 47 is a scenic state highway in western Connecticut that connects the village of Washington Depot with surrounding towns through the Litchfield Hills.
 E251985 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: Connecticut Route 47 | Statement: [Washington Depot, Connecticut, hasTransportation, Connecticut Route 47]
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: Connecticut Route 47
Triple: [Washington Depot, Connecticut, hasTransportation, Connecticut Route 47]
Generated description
Connecticut Route 47 is a scenic state highway in western Connecticut that connects the village of Washington Depot with surrounding towns through the Litchfield Hills.

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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78bae065c819081fc659e8df3332e completed May 3, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6dee11881909a03bbe632044a4a completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b7894d6881908c94b01be3b29514 completed June 22, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_6a38b802604081908c160b75c4adcdef completed June 22, 2026, 4:20 a.m.
Created at: May 3, 2026, 4:01 p.m.