Triple

T12076968
Position Surface form Disambiguated ID Type / Status
Subject New York–New Jersey transportation network E287575 entity
Predicate hasComponent P35 FINISHED
Object PATH E21015 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 | Statement: [New York–New Jersey transportation network, hasComponent, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH
Context triple: [New York–New Jersey transportation network, hasComponent, PATH]
  • A. PATH chosen
    PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
  • 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 the stock ticker symbol for UiPath, a leading enterprise software company specializing in robotic process automation (RPA) solutions.
  • D. Path
    Path was a mobile-focused social networking service designed for private sharing among close friends and family.
  • E. Patchway
    Patchway is a suburban town and civil parish in South Gloucestershire, England, situated near Bristol and known for its post-war housing estates and proximity to major transport links.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045ceeec81909427cae8972eed26 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f660f48881908d50bf27b0892953 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.