Triple

T23024675
Position Surface form Disambiguated ID Type / Status
Subject Town of Montville, Connecticut E573269 entity
Predicate traversedBy P225 FINISHED
Object Connecticut Route 82
Connecticut Route 82 is a state highway in eastern Connecticut that runs between Norwich and Salem, serving several communities including Montville.
 E1763168 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 82 | Statement: [Town of Montville, Connecticut, traversedBy, Connecticut Route 82]
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 82
Triple: [Town of Montville, Connecticut, traversedBy, Connecticut Route 82]
Generated description
Connecticut Route 82 is a state highway in eastern Connecticut that runs between Norwich and Salem, serving several communities including Montville.

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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847c671c8190a8095051d8c3cf93 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a126239807881908843eaced3181240 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12667d95ec8190900555e50d903e5d completed May 24, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1266dd3b748190a06a76a7587eff99 completed May 24, 2026, 2:47 a.m.
Created at: April 17, 2026, 3:52 p.m.