Triple

T11000759
Position Surface form Disambiguated ID Type / Status
Subject STRaND-1 E259996 entity
Predicate operator P179 FINISHED
Object Surrey Satellite Technology Ltd E891059 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: Surrey Satellite Technology Ltd | Statement: [STRaND-1, operator, Surrey Satellite Technology Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey Satellite Technology Ltd
Context triple: [STRaND-1, operator, Surrey Satellite Technology Ltd]
  • A. Surrey Satellite Technology Ltd chosen
    Surrey Satellite Technology Ltd is a pioneering British company specializing in the design, manufacture, and operation of small satellites and space missions.
  • B. SATS Ltd
    SATS Ltd is a Singapore-based provider of gateway services and food solutions, best known for its airport ground handling and airline catering operations across Asia.
  • C. Surrey Space Centre
    Surrey Space Centre is a leading UK academic research institution specializing in space engineering, satellite technology, and space missions.
  • D. Astrium
    Astrium was a major European aerospace company specializing in the design and manufacture of satellites, space systems, and launch vehicle components.
  • E. Marshall Aerospace
    Marshall Aerospace is a British aerospace engineering and defense company known for its aircraft maintenance, modification, and conversion services for military and civilian fleets.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d68b608190a8d016b9383e82f8 completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.