Triple

T38442034
Position Surface form Disambiguated ID Type / Status
Subject Bell Island E906522 entity
Predicate hasUnderwaterSite P38863 FINISHED
Object Bell Island shipwrecks 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: Bell Island shipwrecks | Statement: [Bell Island, hasUnderwaterSite, Bell Island shipwrecks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnderwaterSite
Context triple: [Bell Island, hasUnderwaterSite, Bell Island shipwrecks]
  • A. hasDiveSite
    Indicates that one entity possesses, is associated with, or provides access to a particular dive site.
  • B. hasUnderwaterCity
    Indicates that one entity possesses, controls, or contains a city located underwater.
  • C. hasUnderseaSection
    Indicates that a structure, route, or system includes a portion that runs beneath the sea.
  • D. hasSubmergedArchaeologicalRemains chosen
    Indicates that an entity contains or is associated with archaeological remains that are located underwater or below a water surface.
  • E. hasDiveSiteFeature
    Indicates that a dive site possesses or includes a particular feature or characteristic.
  • 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_69f76e72878c8190a692836c8b01b58b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd91a5dad8819093eeeef527027890 completed May 8, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69fd8f65fe9081908902500a3228d935 completed May 8, 2026, 7:23 a.m.
Created at: May 3, 2026, 4:31 p.m.