Triple

T28223570
Position Surface form Disambiguated ID Type / Status
Subject HPD E711524 entity
Predicate enforces P760 FINISHED
Object New York City Housing Maintenance Code
The New York City Housing Maintenance Code is a set of local laws that establish minimum standards for the safety, maintenance, and habitability of residential buildings in New York City.
E11731 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 City Housing Maintenance Code | Statement: [HPD, enforces, New York City Housing Maintenance Code]
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 City Housing Maintenance Code
Triple: [HPD, enforces, New York City Housing Maintenance Code]
Generated description
The New York City Housing Maintenance Code is a set of local laws that establish minimum standards for the safety, maintenance, and habitability of residential buildings in 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_69efb51dfb048190ada79b745c33b363 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64353d66c8190994a4c80223fd2d4 completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6c934288190960d5cfab649bb3b completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e8b61a208190a39c169833b17110 completed May 26, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a15e92e502081908c8ad21a09bfefb9 completed May 26, 2026, 6:40 p.m.
Created at: April 27, 2026, 10:48 p.m.