Triple

T14998919
Position Surface form Disambiguated ID Type / Status
Subject Kibo Hut E374030 entity
Predicate terrainAround P91553 FINISHED
Object scree and alpine desert 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: scree and alpine desert | Statement: [Kibo Hut, terrainAround, scree and alpine desert]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terrainAround
Context triple: [Kibo Hut, terrainAround, scree and alpine desert]
  • A. surfaceTypeAround chosen
    Indicates the type or nature of the surface that surrounds or is immediately adjacent to a given entity.
  • B. terrainFeature
    Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
  • C. terrainIncludes
    Indicates that a specified terrain area contains or encompasses another geographic or environmental feature within its boundaries.
  • D. terrainSpecialization
    Indicates a relationship where an entity is particularly adapted or optimized for operation, performance, or use within a specific type of terrain.
  • E. surrounds
    Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:54 a.m.