Triple

T1550664
Position Surface form Disambiguated ID Type / Status
Subject New Springville E33081 entity
Predicate servedByBusRoute P14525 FINISHED
Object S59
S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
 E175825 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: S59 | Statement: [New Springville, servedByBusRoute, S59]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S59
Context triple: [New Springville, servedByBusRoute, S59]
  • A. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • B. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • C. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • D. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • E. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • 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: S59
Triple: [New Springville, servedByBusRoute, S59]
Generated description
S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S59
Target entity description: S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • A. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • B. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • C. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • D. S25
    S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
  • E. S45
    S45 is a Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61ddc9908190a4afca1c24400817 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a29ae88190ab1b2ca97b8ed09c completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3196e92481909bd09e6c765a9698 completed March 8, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69ad32391ed881909826a80a90f18cb4 completed March 8, 2026, 8:24 a.m.
Created at: March 4, 2026, 7:26 p.m.