Triple

T16312075
Position Surface form Disambiguated ID Type / Status
Subject Paulus Hook, Jersey City E396081 entity
Predicate waterfrontFeature P114920 FINISHED
Object Hudson River waterfront walkway 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: Hudson River waterfront walkway | Statement: [Paulus Hook, Jersey City, waterfrontFeature, Hudson River waterfront walkway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterfrontFeature
Context triple: [Paulus Hook, Jersey City, waterfrontFeature, Hudson River waterfront walkway]
  • A. hasWaterfrontType
    Indicates that an entity is associated with a specific type or category of waterfront (e.g., oceanfront, lakefront, riverfront).
  • B. hasWaterfrontAccessTo
    Indicates that one entity is directly adjacent to and can physically access a particular body of water, such as a lake, river, or ocean.
  • C. associatedWithWaterfront chosen
    Indicates a relationship in which something is located on, adjacent to, or otherwise directly connected with a waterfront area.
  • D. hasWaterfrontUse
    Indicates that an entity is used, designated, or suitable for activities or purposes directly related to a waterfront or shoreline area.
  • E. hasWaterFeatures
    Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288dafb608190be35bd60342bb44e completed April 17, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:06 a.m.