Triple

T8168323
Position Surface form Disambiguated ID Type / Status
Subject Manhasset station E190750 entity
Predicate hasTrashCans P31159 FINISHED
Object yes 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: yes | Statement: [Manhasset station, hasTrashCans, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrashCans
Context triple: [Manhasset station, hasTrashCans, yes]
  • A. hasTrashReceptacles chosen
    Indicates that one entity provides, contains, or is equipped with trash receptacles for waste disposal in relation to another entity or location.
  • B. typeOfWasteCovered
    Indicates the specific category or kind of waste material that is included or addressed within a given context, agreement, or regulation.
  • C. canBePutOutBy
    Indicates that one entity has the ability or means to extinguish, stop, or neutralize another entity or process.
  • D. hasRestrooms
    Indicates that a place or facility provides access to restroom or toilet amenities.
  • E. hasBusBays
    Indicates that a location or facility is equipped with one or more designated bus bays for buses to stop, load, or unload passengers.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb466abfe48190b4eb2f23b1e28668 completed March 31, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69cb36a4c40c81909f60aef0e1624c13 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:39 p.m.