Triple

T33885563
Position Surface form Disambiguated ID Type / Status
Subject Interstate 287 in Hanover Township E868622 entity
Predicate connectsTo P845 FINISHED
Object Route 10 (New Jersey)
Route 10 (New Jersey) is a major east–west state highway in northern New Jersey that serves as a key commercial and commuter corridor through Morris and Essex counties.
 E2071190 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: Route 10 (New Jersey) | Statement: [Interstate 287 in Hanover Township, connectsTo, Route 10 (New Jersey)]
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: Route 10 (New Jersey)
Triple: [Interstate 287 in Hanover Township, connectsTo, Route 10 (New Jersey)]
Generated description
Route 10 (New Jersey) is a major east–west state highway in northern New Jersey that serves as a key commercial and commuter corridor through Morris and Essex counties.

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_69f34996761c8190864e42f7c9cf215b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7013fffc8819080421f354d61c677 completed May 3, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3676321d0081908d6e4275aa79e457 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676f702e48190afa2ce8b400a4a8d completed June 20, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_6a36776a62848190ae95f5ba56ea5e43 completed June 20, 2026, 11:20 a.m.
Created at: May 1, 2026, 1:48 a.m.