Triple

T29080057
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Route 72 E733949 entity
Predicate abbreviation P43 FINISHED
Object NJ 72
NJ 72 is a state highway in New Jersey that serves as a primary route connecting the Garden State Parkway to Long Beach Island and the Jersey Shore.
 E1848225 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: NJ 72 | Statement: [New Jersey Route 72, abbreviation, NJ 72]
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: NJ 72
Triple: [New Jersey Route 72, abbreviation, NJ 72]
Generated description
NJ 72 is a state highway in New Jersey that serves as a primary route connecting the Garden State Parkway to Long Beach Island and the Jersey Shore.

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_69f05b0c0f28819086eae6e84f2ae472 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f66142a7dc8190a574168fff93191f completed May 2, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f8dc8f4819081e7c9fc70465bfa completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a2523b0c0c88190a727ea6cd5397cf4 completed June 7, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a252859f9a48190ba90cb0e5ada581c completed June 7, 2026, 8:14 a.m.
Created at: April 28, 2026, 10:54 a.m.