Triple

T31996798
Position Surface form Disambiguated ID Type / Status
Subject Astoria Riverfront Trolley E817012 entity
Predicate hasBoardingPoints P33919 FINISHED
Object multiple stops along the riverfront 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: multiple stops along the riverfront | Statement: [Astoria Riverfront Trolley, hasBoardingPoints, multiple stops along the riverfront]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBoardingPoints
Context triple: [Astoria Riverfront Trolley, hasBoardingPoints, multiple stops along the riverfront]
  • A. hasBoardingType
    Indicates the specific manner or method by which an entity is boarded or accessed (e.g., how passengers or items are taken on).
  • B. hasBoardingOption
    Indicates that an entity offers or is associated with a particular way or method by which passengers or items can board or be taken on.
  • C. hasBoardingComponent
    Indicates that one entity includes or is equipped with a component used for boarding, such as entering or accessing another entity.
  • D. hasBoardingAreaFor chosen
    Indicates that one entity provides or contains a designated area where passengers can board another entity (such as a vehicle or vessel).
  • E. wasTransitPointOn
    Indicates that something served as an intermediate stop or passage location along a specified route, journey, or transport path.
  • 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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 1, 2026, 12:14 a.m.