Triple

T13266875
Position Surface form Disambiguated ID Type / Status
Subject Apollo spacesuit E315945 entity
Predicate hasVersion P455 FINISHED
Object A5L suit
The A5L suit was an early prototype pressure suit developed for NASA’s Apollo program that helped pave the way for the final lunar EVA spacesuits.
E1031251 NE FINISHED

How this triple was built (4 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: A5L suit | Statement: [Apollo spacesuit, hasVersion, A5L suit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A5L suit
Context triple: [Apollo spacesuit, hasVersion, A5L suit]
  • A. A51
    A51 is the station code for the Euclid Avenue subway station in New York City’s transit system.
  • B. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • C. Audi A5
    The Audi A5 is a compact luxury car line, offered in coupe, sportback, and cabriolet forms, known for its sleek design, refined performance, and advanced technology features.
  • D. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • E. A55
    The A55 is a major road in North Wales that forms part of the key route along the north coast, linking towns such as Hawarden to the wider regional and national road network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: A5L suit
Triple: [Apollo spacesuit, hasVersion, A5L suit]
Generated description
The A5L suit was an early prototype pressure suit developed for NASA’s Apollo program that helped pave the way for the final lunar EVA spacesuits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A5L suit
Target entity description: The A5L suit was an early prototype pressure suit developed for NASA’s Apollo program that helped pave the way for the final lunar EVA spacesuits.
  • A. A51
    A51 is the station code for the Euclid Avenue subway station in New York City’s transit system.
  • B. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • C. Audi A5
    The Audi A5 is a compact luxury car line, offered in coupe, sportback, and cabriolet forms, known for its sleek design, refined performance, and advanced technology features.
  • D. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • E. A55
    The A55 is a major road in North Wales that forms part of the key route along the north coast, linking towns such as Hawarden to the wider regional and national road network.
  • F. None of above. chosen

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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4cc20881909b1ca6623e5b1988 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70bc5111c8190ae5b098c806bb845 completed May 3, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.