Triple

T21739306
Position Surface form Disambiguated ID Type / Status
Subject Ice Park E536608 entity
Predicate surroundingClimate P193 FINISHED
Object warm 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: warm | Statement: [Ice Park, surroundingClimate, warm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surroundingClimate
Context triple: [Ice Park, surroundingClimate, warm]
  • A. hasClimate chosen
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • B. hasClimateContext
    Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
  • C. environmentalCondition
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • D. climateBetween
    Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
  • E. climateTypeRelative
    Indicates a relationship where one entity’s climate type is characterized, classified, or compared in relation to another reference climate type.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0e94c4819096bace0c661f5156 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:49 p.m.