Triple

T19052661
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake E466300 entity
Predicate servedByBus P14525 FINISHED
Object S61
S61 is a New York City bus route that provides local transit service connecting the Silver Lake area with other parts of Staten Island.
 E1356012 NE FINISHED

How this triple was built (4 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: S61 | Statement: [Silver Lake, servedByBus, S61]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S61
Context triple: [Silver Lake, servedByBus, S61]
  • A. S611
    S611 is the hull number of Le Redoutable, the lead vessel of France’s first generation of nuclear-powered ballistic missile submarines.
  • B. S62
    The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
  • C. S68
    S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
  • D. S6
    S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
  • E. S6
    S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: S61
Triple: [Silver Lake, servedByBus, S61]
Generated description
S61 is a New York City bus route that provides local transit service connecting the Silver Lake area with other parts of Staten Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S61
Target entity description: S61 is a New York City bus route that provides local transit service connecting the Silver Lake area with other parts of Staten Island.
  • A. S611
    S611 is the hull number of Le Redoutable, the lead vessel of France’s first generation of nuclear-powered ballistic missile submarines.
  • B. S62
    The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
  • C. S68
    S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
  • D. S6
    S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
  • E. S6
    S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
  • F. None of above. chosen

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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc03dfa08190924a1b8073364fa1 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c556721081908adc6525fbb76ef8 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c62a43a881909e5453011be393fc completed May 14, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_6a05c704b21c81909dd690d07ffa1526 completed May 14, 2026, 12:58 p.m.
Created at: April 10, 2026, 12:03 p.m.