Triple

T38390768
Position Surface form Disambiguated ID Type / Status
Subject CSX Transportation Boston Subdivision E899709 entity
Predicate hasSectionUse P180951 FINISHED
Object commuter rail (on repurposed portions) 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: commuter rail (on repurposed portions) | Statement: [CSX Transportation Boston Subdivision, hasSectionUse, commuter rail (on repurposed portions)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSectionUse
Context triple: [CSX Transportation Boston Subdivision, hasSectionUse, commuter rail (on repurposed portions)]
  • A. hasSectionIn
    Indicates that one entity contains or includes another entity as a section or subdivision within it.
  • B. hasSectionWith
    Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
  • C. hasSectionOn
    Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
  • D. usesSectionOf chosen
    Indicates that one entity makes use of a specific section or part of another entity.
  • E. hasSect
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • 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_69f76e5c9b808190b486523f5c2f817d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00d15f7b788190a3bf440be7837192 completed May 10, 2026, 6:41 p.m.
PD Predicate disambiguation batch_6a00d0f8ef548190b1c15b06164eec4a completed May 10, 2026, 6:39 p.m.
Created at: May 3, 2026, 4:31 p.m.