Triple

T27742736
Position Surface form Disambiguated ID Type / Status
Subject Stapleton, Staten Island E701896 entity
Predicate connectedBy P37 FINISHED
Object Van Duzer Street
Van Duzer Street is a major thoroughfare on Staten Island, New York City, known for linking the Stapleton neighborhood with other parts of the island and featuring a mix of residential and commercial properties.
E2286549 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: Van Duzer Street | Statement: [Stapleton, Staten Island, connectedBy, Van Duzer 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: Van Duzer Street
Triple: [Stapleton, Staten Island, connectedBy, Van Duzer Street]
Generated description
Van Duzer Street is a major thoroughfare on Staten Island, New York City, known for linking the Stapleton neighborhood with other parts of the island and featuring a mix of residential and commercial properties.

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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63717b8c48190abd8ebcc54c76c46 completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a46c29b38ac8190b5ed0bc3864154d4 completed July 2, 2026, 7:57 p.m.
NEDg Description generation batch_6a46c34b5c308190873381b3b5dbe5e6 completed July 2, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_6a46c3c838588190afb898c2e1db4076 completed July 2, 2026, 8:02 p.m.
Created at: April 27, 2026, 4:12 p.m.