Triple

T25546426
Position Surface form Disambiguated ID Type / Status
Subject South Pulaski Road E640317 entity
Predicate intersects P1018 FINISHED
Object West 115th Street
West 115th Street is a major east–west thoroughfare on the South Side of Chicago that runs through multiple city neighborhoods and suburbs.
 E1765603 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 115th Street | Statement: [South Pulaski Road, intersects, West 115th 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 115th Street
Triple: [South Pulaski Road, intersects, West 115th Street]
Generated description
West 115th Street is a major east–west thoroughfare on the South Side of Chicago that runs through multiple city neighborhoods and suburbs.

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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8992ce881909b95d520f580e231 completed May 2, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c774d908190b4bc89098298c948 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129d440e448190bad8b3e249c41698 completed May 24, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a129dac5d2081908e48a30357a8547f completed May 24, 2026, 6:41 a.m.
Created at: April 21, 2026, 3:34 p.m.