Triple

T32936885
Position Surface form Disambiguated ID Type / Status
Subject Babylon Branch between Jamaica and Babylon E842554 entity
Predicate isBusyCommuterCorridor P19600 FINISHED
Object true LITERAL 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: true | Statement: [Babylon Branch between Jamaica and Babylon, isBusyCommuterCorridor, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isBusyCommuterCorridor
Context triple: [Babylon Branch between Jamaica and Babylon, isBusyCommuterCorridor, true]
  • A. hasCommuterTraffic chosen
    Indicates that there is regular, recurring traffic flow associated with people traveling between their homes and places of work or study.
  • B. commuterCorridorFor
    Indicates a route or area that serves as a primary pathway for regular travel between two locations, typically used by commuters.
  • C. isCommuterHub
    Indicates that a location functions as a central node where many commuters start, end, or transfer during their regular travel.
  • D. isBusiestStationIn
    Indicates that a station has the highest level of activity (e.g., passenger or traffic volume) within a specified area or system.
  • E. isCommuterService
    Indicates that a transportation service operates primarily to carry passengers on regular, often short-distance routes between residential areas and workplaces or other daily destinations.
  • F. None of above.

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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d10cb6c481908b0adeef147884ea completed May 3, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:20 a.m.