Triple

T38582867
Position Surface form Disambiguated ID Type / Status
Subject Frozen Sea E932283 entity
Predicate secondaryElement P28553 FINISHED
Object ice 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: ice | Statement: [Frozen Sea, secondaryElement, ice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryElement
Context triple: [Frozen Sea, secondaryElement, ice]
  • A. secondElement
    Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
  • B. secondaryTo
    Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
  • C. secondaryConstituent chosen
    Indicates that one entity functions as a secondary or subordinate component, element, or member within the structure or composition of another entity.
  • D. secondarySurface
    Indicates a relationship where one surface functions as a secondary or subordinate surface in relation to a primary or main surface.
  • E. secondarySingle
    Indicates that an entity serves as a secondary, but singular, counterpart or role in relation to another primary entity.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffe23081408190a121d901dbce1403 completed May 10, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69ffe18aed348190912a5996b2da728b completed May 10, 2026, 1:38 a.m.
Created at: May 3, 2026, 4:32 p.m.