Triple

T19052667
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake E466300 entity
Predicate servedByBus P14525 FINISHED
Object S98
S98 is a New York City bus route that provides local service connecting the Silver Lake area with other parts of Staten Island.
 E1356013 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: S98 | Statement: [Silver Lake, servedByBus, S98]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S98
Context triple: [Silver Lake, servedByBus, S98]
  • A. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • B. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • C. S8
    S8 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • D. S8
    S8 is a regional S-Bahn line in Germany’s Rhine-Main area that connects key cities and suburbs within the Frankfurt metropolitan region.
  • E. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • 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: S98
Triple: [Silver Lake, servedByBus, S98]
Generated description
S98 is a New York City bus route that provides local 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: S98
Target entity description: S98 is a New York City bus route that provides local service connecting the Silver Lake area with other parts of Staten Island.
  • A. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • B. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • C. S8
    S8 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • D. S8
    S8 is a regional S-Bahn line in Germany’s Rhine-Main area that connects key cities and suburbs within the Frankfurt metropolitan region.
  • E. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • 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.