Triple

T11605972
Position Surface form Disambiguated ID Type / Status
Subject Sleetmute, Alaska E275259 entity
Predicate hasRiverTransportation P14751 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: [Sleetmute, Alaska, hasRiverTransportation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverTransportation
Context triple: [Sleetmute, Alaska, hasRiverTransportation, yes]
  • A. waterTransport chosen
    Indicates the movement or conveyance of something from one place to another via water-based means such as rivers, seas, or other aquatic routes.
  • B. transportsWaterTo
    Indicates that one entity carries or conveys water from its location or source to another entity or destination.
  • C. waterwayThrough
    Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
  • D. isInternationalWaterway
    Indicates that a waterway is recognized as lying beyond the territorial jurisdiction of any single state and is subject to international navigation or legal regimes.
  • E. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89551649c81908096ff392677442d completed April 10, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69d85dd20d188190863d1190d4c16048 completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.