Triple

T11393793
Position Surface form Disambiguated ID Type / Status
Subject New London harbor E269913 entity
Predicate supportsRoute P4374 FINISHED
Object ferry service to Fishers Island, New York 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: ferry service to Fishers Island, New York | Statement: [New London harbor, supportsRoute, ferry service to Fishers Island, New York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsRoute
Context triple: [New London harbor, supportsRoute, ferry service to Fishers Island, New York]
  • A. supportsRouting
    Indicates that one entity provides the capability to determine and direct paths or routes for another entity’s traffic, requests, or messages.
  • B. mayRouteTo
    Indicates that one entity is permitted or able to direct, forward, or transfer something (such as data, traffic, or requests) to another entity.
  • C. supportsTraffic
    Indicates that one entity is capable of handling, carrying, or accommodating the flow or volume of traffic associated with another entity.
  • D. isRouteFor
    Indicates that one entity serves as a path, course, or channel used for traveling, transporting, or connecting to another entity.
  • E. hasRoute chosen
    Indicates that there exists a path or connection enabling travel or communication from one entity to another.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69d7e70b228c8190b87f5101fd683788 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.