Triple

T38493534
Position Surface form Disambiguated ID Type / Status
Subject 91st Street E919620 entity
Predicate sharesPatternWith P5696 FINISHED
Object 90th Street
90th Street is a numbered urban thoroughfare whose layout and characteristics parallel those of nearby streets such as 91st Street.
 E2278645 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: 90th Street | Statement: [91st Street, sharesPatternWith, 90th 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: 90th Street
Triple: [91st Street, sharesPatternWith, 90th Street]
Generated description
90th Street is a numbered urban thoroughfare whose layout and characteristics parallel those of nearby streets such as 91st Street.

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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd2444be88190b41f83f914c38395 completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f42d603881908321a55bfa4d0053 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4e7480081908b9a4c8f6a7ee771 completed June 29, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a41f5ee76048190b757881212799a4e completed June 29, 2026, 4:34 a.m.
Created at: May 3, 2026, 4:31 p.m.