Triple

T27358832
Position Surface form Disambiguated ID Type / Status
Subject Northford, Connecticut E685760 entity
Predicate majorRoad P385 FINISHED
Object Connecticut Route 22
Connecticut Route 22 is a state highway in south-central Connecticut that serves as an east–west connector through several New Haven County communities, including Northford.
E1919838 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 22 | Statement: [Northford, Connecticut, majorRoad, Connecticut Route 22]
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 22
Triple: [Northford, Connecticut, majorRoad, Connecticut Route 22]
Generated description
Connecticut Route 22 is a state highway in south-central Connecticut that serves as an east–west connector through several New Haven County communities, including Northford.

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_69ef14887c288190931b8431fdbf53c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62c21405c81909c486d3b9d9be274 completed May 2, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be472cb08190a04fd8cf631a03a9 completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27c1e7e08881909adc8884524ff1f2 completed June 9, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a27c56068d88190ac70d4300b5a1cad completed June 9, 2026, 7:48 a.m.
Created at: April 27, 2026, 11:52 a.m.