Triple

T19298398
Position Surface form Disambiguated ID Type / Status
Subject Zhurong rover E482626 entity
Predicate terrainNavigationCapability P127351 FINISHED
Object Autonomous obstacle avoidance 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: Autonomous obstacle avoidance | Statement: [Zhurong rover, terrainNavigationCapability, Autonomous obstacle avoidance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terrainNavigationCapability
Context triple: [Zhurong rover, terrainNavigationCapability, Autonomous obstacle avoidance]
  • A. terrainNavigation chosen
    Indicates the ability or process of moving through, over, or across different types of terrain or ground conditions.
  • B. terrainCapability
    Indicates the types of terrain or ground conditions in which an entity can effectively operate or function.
  • C. involvesTerrain
    Indicates that the relationship or action takes place in, across, or is directly affected by a specified type of terrain or landform.
  • D. hasAdvancedTerrain
    Indicates that an entity possesses or is associated with terrain featuring complex, challenging, or enhanced physical characteristics beyond standard ground conditions.
  • E. terrainFeature
    Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc86f8648190920d122bb141c6e5 completed April 20, 2026, 10:14 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:31 p.m.