Triple

T27407685
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Route 47 E692051 entity
Predicate connectsTo P845 FINISHED
Object New Jersey Route 109
New Jersey Route 109 is a state highway in Cape May County that serves as a key connector between the Garden State Parkway and the coastal community of Cape May.
 E2166005 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 Jersey Route 109 | Statement: [New Jersey Route 47, connectsTo, New Jersey Route 109]
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 Jersey Route 109
Triple: [New Jersey Route 47, connectsTo, New Jersey Route 109]
Generated description
New Jersey Route 109 is a state highway in Cape May County that serves as a key connector between the Garden State Parkway and the coastal community of Cape May.

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_69ef5205fc808190ad3efc5525b8e6d6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cd702e081909f5549c4aa6b837f completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb70ea788190a694e7363c777a3c completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cc7429608190976416e7fa580c99 completed June 22, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_6a38cd14a5f48190b924f3818ebdf8e7 completed June 22, 2026, 5:50 a.m.
Created at: April 27, 2026, 12:31 p.m.