Triple

T15037660
Position Surface form Disambiguated ID Type / Status
Subject Toronto-Dominion Centre E378517 entity
Predicate partOf P40 FINISHED
Object PATH network E296965 NE FINISHED

How this triple was built (2 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: PATH network | Statement: [Toronto-Dominion Centre, partOf, PATH network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH network
Context triple: [Toronto-Dominion Centre, partOf, PATH network]
  • A. PATH pedestrian network chosen
    The PATH pedestrian network is an extensive underground walkway system in downtown Toronto that links office towers, shopping centers, and transit hubs through a series of interconnected tunnels and corridors.
  • B. PATH
    PATH is an international nonprofit organization focused on improving global health through innovation, partnerships, and the development and delivery of affordable health technologies and solutions.
  • C. PATH
    PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
  • D. PATH
    PATH is the stock ticker symbol for UiPath, a leading enterprise software company specializing in robotic process automation (RPA) solutions.
  • E. Path
    Path was a mobile-focused social networking service designed for private sharing among close friends and family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82cf3848190b0b2b6c9e65bc70b completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddfc13481909333690016650410 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.