Triple

T27389120
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 17M E691469 entity
Predicate isNumberedBefore P11124 FINISHED
Object New York State Route 17N
New York State Route 17N was a former New York state highway designation that once served as an alternate routing of NY 17 before being renumbered or decommissioned.
E2292431 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 York State Route 17N | Statement: [New York State Route 17M, isNumberedBefore, New York State Route 17N]
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 York State Route 17N
Triple: [New York State Route 17M, isNumberedBefore, New York State Route 17N]
Generated description
New York State Route 17N was a former New York state highway designation that once served as an alternate routing of NY 17 before being renumbered or decommissioned.

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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62caba5308190b23ad58b88ea3110 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a688876874081908b11b3186120eef9 completed July 28, 2026, 10:46 a.m.
NEDg Description generation batch_6a68902a86c081909dfda398c6f42b4a completed July 28, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a6890de8c0481909273db0978fa84f8 completed July 28, 2026, 11:22 a.m.
Created at: April 27, 2026, 12:25 p.m.