Triple

T34782500
Position Surface form Disambiguated ID Type / Status
Subject U.S. Highways in New York E1002707 entity
Predicate hasRoute P4374 FINISHED
Object U.S. Route 20 in New York
U.S. Route 20 in New York is a major east–west highway that traverses the state just south of the Finger Lakes and Albany, connecting rural communities and small cities between the Pennsylvania and Massachusetts borders.
E2114339 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: U.S. Route 20 in New York | Statement: [U.S. Highways in New York, hasRoute, U.S. Route 20 in New York]
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: U.S. Route 20 in New York
Triple: [U.S. Highways in New York, hasRoute, U.S. Route 20 in New York]
Generated description
U.S. Route 20 in New York is a major east–west highway that traverses the state just south of the Finger Lakes and Albany, connecting rural communities and small cities between the Pennsylvania and Massachusetts borders.

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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a437898819089e62c7f026422f0 completed May 3, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fa2293c8190b04aca526341a45d completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37739f10c08190aca2910a4817d00b completed June 21, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_6a3773ff7b1481909b4d3589ad547e68 completed June 21, 2026, 5:17 a.m.
Created at: May 3, 2026, 3:59 p.m.