Triple

T12639339
Position Surface form Disambiguated ID Type / Status
Subject Mars 3 E301850 entity
Predicate component P35 FINISHED
Object Mars 3 orbiter E301850 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 3 orbiter | Statement: [Mars 3, component, Mars 3 orbiter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mars 3 orbiter
Context triple: [Mars 3, component, Mars 3 orbiter]
  • A. Mars 3 chosen
    Mars 3 was a Soviet spacecraft that became the first spacecraft to achieve a soft landing on Mars, though it failed shortly after touchdown.
  • B. Phobos 2
    Phobos 2 was a Soviet space probe launched in 1988 to study Mars and its moon Phobos as part of the Phobos program.
  • C. Viking Orbiter
    Viking Orbiter was a pair of NASA spacecraft launched in the 1970s that orbited Mars to map its surface, study its atmosphere, and support the Viking landers.
  • D. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • E. Venera 13
    Venera 13 was a Soviet space probe that successfully landed on Venus in 1982, transmitting the first color images and extensive data from the planet’s surface.
  • 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_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:16 p.m.