Triple

T38199800
Position Surface form Disambiguated ID Type / Status
Subject Mars 7 E1009020 entity
Predicate spacecraftBus P12569 FINISHED
Object 4MV spacecraft bus
The 4MV spacecraft bus is a Soviet-era modular spacecraft platform used for interplanetary missions, particularly to Mars and Venus, during the 1960s and 1970s.
 E2259891 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: 4MV spacecraft bus | Statement: [Mars 7, spacecraftBus, 4MV spacecraft bus]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 4MV spacecraft bus
Triple: [Mars 7, spacecraftBus, 4MV spacecraft bus]
Generated description
The 4MV spacecraft bus is a Soviet-era modular spacecraft platform used for interplanetary missions, particularly to Mars and Venus, during the 1960s and 1970s.

Provenance (5 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_69f76dc94fcc8190bd2f55e81f9d6527 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb12aa4e48190bafb4c6145356e5d completed May 7, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a417b47c5188190b4d3acf1f719fcef completed June 28, 2026, 7:51 p.m.
NEDg Description generation batch_6a417da236688190abe036abbf1f6245 completed June 28, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a417e1abc2c8190b3b7f93c6a793208 completed June 28, 2026, 8:03 p.m.
Created at: May 3, 2026, 4:30 p.m.