Triple

T5350644
Position Surface form Disambiguated ID Type / Status
Subject Toronto Zoo E124168 entity
Predicate hasFacility P105 FINISHED
Object Zoomobile ride
The Zoomobile ride is a guided transportation service at the Toronto Zoo that carries visitors around the zoo’s major exhibits and attractions.
 E513961 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: Zoomobile ride | Statement: [Toronto Zoo, hasFacility, Zoomobile ride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zoomobile ride
Context triple: [Toronto Zoo, hasFacility, Zoomobile ride]
  • A. Metro Call-A-Ride
    Metro Call-A-Ride is a paratransit service providing door-to-door transportation for riders with disabilities and mobility challenges in the St. Louis metropolitan area.
  • B. Ride wit Me
    "Ride wit Me" is a popular early-2000s hip hop single by American rapper Nelly that helped establish his mainstream success.
  • C. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • D. Skycab
    Skycab is the elevated monorail system that transports shoppers between the two main sections of the Pearlridge Center mall in Hawaiʻi.
  • E. GrabCar
    GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
  • 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: Zoomobile ride
Triple: [Toronto Zoo, hasFacility, Zoomobile ride]
Generated description
The Zoomobile ride is a guided transportation service at the Toronto Zoo that carries visitors around the zoo’s major exhibits and attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zoomobile ride
Target entity description: The Zoomobile ride is a guided transportation service at the Toronto Zoo that carries visitors around the zoo’s major exhibits and attractions.
  • A. Metro Call-A-Ride
    Metro Call-A-Ride is a paratransit service providing door-to-door transportation for riders with disabilities and mobility challenges in the St. Louis metropolitan area.
  • B. Ride wit Me
    "Ride wit Me" is a popular early-2000s hip hop single by American rapper Nelly that helped establish his mainstream success.
  • C. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • D. Skycab
    Skycab is the elevated monorail system that transports shoppers between the two main sections of the Pearlridge Center mall in Hawaiʻi.
  • E. GrabCar
    GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860fe4048190846a933d0e1b9386 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d494b481909d7887cd85233815 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf230926348190b40f8a6105d64d54 completed March 21, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69bf243319448190a30d6e8847d3f4b8 completed March 21, 2026, 11:05 p.m.
Created at: March 20, 2026, 2:01 p.m.