Triple

T19831029
Position Surface form Disambiguated ID Type / Status
Subject Mars orbit E476460 entity
Predicate includesOrbitOf P137487 FINISHED
Object Tianwen-1 NE NERFINISHED

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: Tianwen-1 | Statement: [Mars orbit, includesOrbitOf, Tianwen-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianwen-1
Context triple: [Mars orbit, includesOrbitOf, Tianwen-1]
  • A. Tianwen-1 chosen
    Tianwen-1 is China’s first interplanetary mission, consisting of an orbiter, lander, and rover sent to study Mars from orbit and on the surface.
  • B. Tianwen-3
    Tianwen-3 is a planned Chinese robotic mission aimed at collecting and returning samples from Mars to Earth as part of China’s broader Tianwen planetary exploration program.
  • C. Zhurong rover
    Zhurong rover is China’s first Mars rover, designed to explore the Martian surface as part of the Tianwen-1 mission.
  • D. Tianwen-2
    Tianwen-2 is a planned Chinese deep-space mission under the Tianwen planetary exploration program, primarily aimed at visiting and sampling a near-Earth asteroid and then exploring a main-belt comet.
  • E. Chang’e 5
    Chang’e 5 is a Chinese robotic lunar mission that successfully collected and returned samples from the Moon to Earth in 2020.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cd9b94819081a541bb6c5c2942 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.