Triple

T12639367
Position Surface form Disambiguated ID Type / Status
Subject Mars 3 E301850 entity
Predicate relatedMission P36268 FINISHED
Object Mars 2 E994737 NE 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: Mars 2 | Statement: [Mars 3, relatedMission, Mars 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mars 2
Context triple: [Mars 3, relatedMission, Mars 2]
  • A. Mars 2 chosen
    Mars 2 was a Soviet space probe launched in 1971 as part of the Mars program, notable for being the first human-made object to reach the surface of Mars, though its lander crashed.
  • B. MARS
    MARS is a prominent benchmark suite used in computer architecture and systems research, often serving as a standard workload for evaluating and comparing processor and memory system performance.
  • C. Return to Mars
    Return to Mars is a science fiction novel by Ben Bova that continues his exploration of human exploration and colonization of the Red Planet within his Grand Tour series.
  • D. Sphere of Mars
    The Sphere of Mars is the celestial realm in Dante Alighieri’s Paradiso where the souls of holy warriors and martyrs reside, symbolizing courage and militant faith.
  • E. Le Mars
    Le Mars is a small city in northwestern Iowa known as the "Ice Cream Capital of the World" for its large ice cream production industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719886708190823f6f7e94e4d199 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:16 p.m.