Triple

T8722404
Position Surface form Disambiguated ID Type / Status
Subject Shore Acres, Staten Island E207042 entity
Predicate servedByBus P14525 FINISHED
Object S51
S51 is a New York City bus route on Staten Island that connects the Shore Acres area with other parts of the borough.
E752877 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: S51 | Statement: [Shore Acres, Staten Island, servedByBus, S51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S51
Context triple: [Shore Acres, Staten Island, servedByBus, S51]
  • A. S52
    S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • B. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • C. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • D. S59
    S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • 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: S51
Triple: [Shore Acres, Staten Island, servedByBus, S51]
Generated description
S51 is a New York City bus route on Staten Island that connects the Shore Acres area with other parts of the borough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S51
Target entity description: S51 is a New York City bus route on Staten Island that connects the Shore Acres area with other parts of the borough.
  • A. S52
    S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • B. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • C. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • D. S59
    S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d0609f48190adc56226724b16c6 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf290001108190a90784b13a0a25b1 completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd32cc881909ac8a61befa9929e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c69f83481909423858668d03a8b completed April 3, 2026, 2:56 a.m.
Created at: March 30, 2026, 6:36 p.m.