Triple

T20560321
Position Surface form Disambiguated ID Type / Status
Subject Lorentz National Park E504826 entity
Predicate climateRange P67830 FINISHED
Object from tropical lowland to alpine 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: from tropical lowland to alpine | Statement: [Lorentz National Park, climateRange, from tropical lowland to alpine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: climateRange
Context triple: [Lorentz National Park, climateRange, from tropical lowland to alpine]
  • A. climateBetween chosen
    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.
  • B. shareClimateZones
    Indicates that two entities are located in regions classified under the same climate zone or zones.
  • C. hasClimate
    Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
  • D. humidityRange
    Indicates the range of humidity values within which a condition, process, or entity is defined, operates, or remains valid.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a79d93148190b038814af0a4649a completed April 20, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69e59ff0116c8190a163ff28ed01430a completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:38 a.m.