Triple

T23714265
Position Surface form Disambiguated ID Type / Status
Subject East 9th Street, Manhattan E585951 entity
Predicate hasAlternativeName P39 FINISHED
Object East 9th Street
East 9th Street is a cross-town street in Manhattan, New York City, running through neighborhoods such as the East Village and connecting major north–south avenues.
 E1643327 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: East 9th Street | Statement: [East 9th Street, Manhattan, hasAlternativeName, East 9th 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: East 9th Street
Triple: [East 9th Street, Manhattan, hasAlternativeName, East 9th Street]
Generated description
East 9th Street is a cross-town street in Manhattan, New York City, running through neighborhoods such as the East Village and connecting major north–south avenues.

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_69e24905f77881908194d645676acd60 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b779f8508190a0a7f5496252b471 completed April 29, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10044d9458819095b972b02ab8413f completed May 22, 2026, 7:22 a.m.
NEDg Description generation batch_6a10059a6d108190932d9729d2048640 completed May 22, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1005f98e208190ab37df1509611b89 completed May 22, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:54 p.m.