Triple

T10022656
Position Surface form Disambiguated ID Type / Status
Subject Agena Target Vehicle E200646 entity
Predicate launchVehicle P4020 FINISHED
Object Atlas-Agena E272866 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: Atlas-Agena | Statement: [Agena Target Vehicle, launchVehicle, Atlas-Agena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlas-Agena
Context triple: [Agena Target Vehicle, launchVehicle, Atlas-Agena]
  • A. Atlas-Agena chosen
    Atlas-Agena was an American expendable launch system that combined an Atlas booster with an Agena upper stage, widely used during the early space age for military, scientific, and NASA missions including lunar and planetary probes.
  • B. Taurus rocket
    The Taurus rocket is a small, solid-fueled American launch vehicle designed primarily to place satellites into low Earth orbit.
  • C. Luna rocket
    The Luna rocket was an early Soviet launch vehicle developed to send unmanned spacecraft to the Moon during the late 1950s and early 1960s.
  • D. Astra
    Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
  • E. Astra
    Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7ae36c8190896946be065fbf78 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.