Triple

T19970039
Position Surface form Disambiguated ID Type / Status
Subject Syria Planum E480046 entity
Predicate observedBy P1165 FINISHED
Object Viking Orbiter 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: Viking Orbiter 1 | Statement: [Syria Planum, observedBy, Viking Orbiter 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Orbiter 1
Context triple: [Syria Planum, observedBy, Viking Orbiter 1]
  • A. Viking Orbiter chosen
    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.
  • B. Viking 2
    Viking 2 was a NASA spacecraft and lander that conducted scientific investigations on the surface of Mars as part of the Viking program in the 1970s.
  • C. Viking 1
    Viking 1 was a NASA spacecraft that became the first successful lander on Mars, conducting detailed imaging and scientific experiments on the Martian surface starting in 1976.
  • D. Viking-4B
    Viking-4B is a liquid-fueled rocket engine used as the second-stage propulsion system on the European Ariane 1 launch vehicle.
  • E. Venera 9
    Venera 9 was a Soviet spacecraft that became the first human-made probe to successfully return images from the surface of Venus.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc89b508190879d29bef546aac8 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.