Triple

T28213991
Position Surface form Disambiguated ID Type / Status
Subject Route 20 in Paterson E711254 entity
Predicate isSegmentOf P35 FINISHED
Object New Jersey Route 20
New Jersey Route 20 is a state highway in northern New Jersey that runs along the east side of the Passaic River, serving the city of Paterson and surrounding communities.
E2205921 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 20 | Statement: [Route 20 in Paterson, isSegmentOf, New Jersey Route 20]
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 20
Triple: [Route 20 in Paterson, isSegmentOf, New Jersey Route 20]
Generated description
New Jersey Route 20 is a state highway in northern New Jersey that runs along the east side of the Passaic River, serving the city of Paterson and surrounding communities.

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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6434bfb4881909c3309b3ec88c17a completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c0ee33c819099c508556bc96f86 completed June 26, 2026, 7:36 a.m.
NEDg Description generation batch_6a3e2caad72c8190b621cd090825637e completed June 26, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3e4037818081909a019cf236392de4 completed June 26, 2026, 9:02 a.m.
Created at: April 27, 2026, 10:41 p.m.