Triple

T25051858
Position Surface form Disambiguated ID Type / Status
Subject Pittsgrove Township, New Jersey E627406 entity
Predicate roadAccessVia P9041 FINISHED
Object New Jersey Route 56
New Jersey Route 56 is a state highway in southern New Jersey that connects several communities in Cumberland and Salem counties and serves as an important east–west corridor in the region.
E2066829 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 56 | Statement: [Pittsgrove Township, New Jersey, roadAccessVia, New Jersey Route 56]
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 56
Triple: [Pittsgrove Township, New Jersey, roadAccessVia, New Jersey Route 56]
Generated description
New Jersey Route 56 is a state highway in southern New Jersey that connects several communities in Cumberland and Salem counties and serves as an important east–west corridor in the region.

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_69e2ff2b4c80819087c916b2b16241b9 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f454a200f481908bceaca32cd1d775 completed May 1, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366553fbb08190859d614572109a62 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a36660841b8819086965e412110c25f completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666c1d1b881908654acaa4b5898ec completed June 20, 2026, 10:09 a.m.
Created at: April 18, 2026, 6:09 a.m.