Triple

T3222580
Position Surface form Disambiguated ID Type / Status
Subject Unangan E67542 entity
Predicate traditionalWatercraftType P22942 FINISHED
Object baidarka 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: baidarka | Statement: [Unangan, traditionalWatercraftType, baidarka]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalWatercraftType
Context triple: [Unangan, traditionalWatercraftType, baidarka]
  • A. waterTransport
    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. traditionalVessel chosen
    Indicates that one entity is a vessel or container that follows traditional, customary, or historically established forms, designs, or uses in relation to another entity.
  • C. craftType
    Indicates the specific kind or category of craft or vessel associated with an entity.
  • D. hullType
    Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
  • E. hasBoat
    Indicates that one entity possesses, owns, or has control over a boat.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae196da8819086fdcf5d2b21a702 completed March 8, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69ad9e0bb6c48190a0659c67d40ee37c completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:08 p.m.