Triple

T4885816
Position Surface form Disambiguated ID Type / Status
Subject Tianwen-1 E109435 entity
Predicate scientificInstrumentsOnOrbiter P37032 FINISHED
Object high-resolution camera 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: high-resolution camera | Statement: [Tianwen-1, scientificInstrumentsOnOrbiter, high-resolution camera]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scientificInstrumentsOnOrbiter
Context triple: [Tianwen-1, scientificInstrumentsOnOrbiter, high-resolution camera]
  • A. instrumentsOnOrbiter chosen
    Indicates that certain scientific instruments are mounted on and operate from an orbiting spacecraft.
  • B. instrumentsOnLander
    Indicates that specific instruments are physically mounted on, attached to, or carried by a lander.
  • C. spacecraftComponents
    Indicates that one entity is a spacecraft and the other is a component or part that belongs to or is used in that spacecraft.
  • D. scientificInstruments
    Indicates that one entity is a scientific instrument used by, associated with, or relevant to another entity in the context of scientific measurement or research.
  • E. imagingInstrument
    Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e01872c81909607010c10538ad1 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2be5e881909f6ec9c3bcde49f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.