Triple

T4169157
Position Surface form Disambiguated ID Type / Status
Subject Helen Sharman E84517 entity
Predicate wasOnBoard P12804 FINISHED
Object Mir space station E110028 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: Mir space station | Statement: [Helen Sharman, wasOnBoard, Mir space station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mir space station
Context triple: [Helen Sharman, wasOnBoard, Mir space station]
  • A. Mir space station chosen
    Mir was a Soviet and later Russian modular space station that served as a long-term microgravity research laboratory in low Earth orbit from 1986 to 2001.
  • B. Profsoyuznaya station
    Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. Mission: SPACE
    Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
  • D. Tiangong space station
    The Tiangong space station is China’s modular, permanently crewed orbital outpost that serves as the centerpiece of its independent human spaceflight and research program in low Earth orbit.
  • E. Commandement de l’espace
    Commandement de l’espace is the French Space Command, a military organization responsible for France’s space operations, defense, and space-based security capabilities.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c730b081908b19e6a4aea1549b completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4c2c988190959496cc0cc31cac completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.