Triple

T28470353
Position Surface form Disambiguated ID Type / Status
Subject Sixth Avenue corridor in Lower Manhattan E720417 entity
Predicate partOf P40 FINISHED
Object Manhattan street network
The Manhattan street network is the iconic, largely rectilinear grid of avenues and streets that organizes movement, development, and navigation across the borough of Manhattan in New York City.
 E478371 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: Manhattan street network | Statement: [Sixth Avenue corridor in Lower Manhattan, partOf, Manhattan street network]
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: Manhattan street network
Triple: [Sixth Avenue corridor in Lower Manhattan, partOf, Manhattan street network]
Generated description
The Manhattan street network is the iconic, largely rectilinear grid of avenues and streets that organizes movement, development, and navigation across the borough of Manhattan 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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64ee1c4d08190ba95b02f3aa0ca67 completed May 2, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a164198af4c8190a702712ae202b18e completed May 27, 2026, 12:58 a.m.
NEDg Description generation batch_6a16426a75c48190b5637f503a143bea completed May 27, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a1643096a5c8190bd430174a11ce511 completed May 27, 2026, 1:04 a.m.
Created at: April 28, 2026, 2:48 a.m.