Triple

T27374076
Position Surface form Disambiguated ID Type / Status
Subject 163rd Street–Amsterdam Avenue E691012 entity
Predicate hasExitTo P29827 FINISHED
Object West 162nd Street
West 162nd Street is a street in the Washington Heights neighborhood of Manhattan, New York City.
 E1867560 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: West 162nd Street | Statement: [163rd Street–Amsterdam Avenue, hasExitTo, West 162nd Street]
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: West 162nd Street
Triple: [163rd Street–Amsterdam Avenue, hasExitTo, West 162nd Street]
Generated description
West 162nd Street is a street in the Washington Heights neighborhood of Manhattan, New York City.

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_69ef52022538819081f873d0c84a6dd6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c63cfa88190a6f188ba8a63e809 completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8ebe8288190adc5a63c01f2a9d4 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd39b5e08190afdacb75ea8ef091 completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e28ca1988190929154c0ceb6d42b completed June 7, 2026, 9:28 p.m.
Created at: April 27, 2026, 12:20 p.m.