Triple

T32662449
Position Surface form Disambiguated ID Type / Status
Subject Broadway (New York State Route 107) E835055 entity
Predicate routeDesignation P1864 FINISHED
Object New York State Route 107
New York State Route 107 is a state highway on Long Island that runs through Nassau County, connecting several communities between the south shore and the north shore.
E2294686 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 107 | Statement: [Broadway (New York State Route 107), routeDesignation, New York State Route 107]
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 107
Triple: [Broadway (New York State Route 107), routeDesignation, New York State Route 107]
Generated description
New York State Route 107 is a state highway on Long Island that runs through Nassau County, connecting several communities between the south shore and the north 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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7a52b808190bf7dd52d1479f60b completed May 3, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7c0e771ab88190bd8be32449fef3d6 completed Aug. 12, 2026, 6:11 a.m.
NEDg Description generation batch_6a7c0edf6da0819090bb81691bbf9d60 completed Aug. 12, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a7c0f361d8c81908ad111eb6d807369 completed Aug. 12, 2026, 6:14 a.m.
Created at: May 1, 2026, 1:08 a.m.