Triple

T727765
Position Surface form Disambiguated ID Type / Status
Subject Curiosity rover E14763 entity
Predicate instrument P792 FINISHED
Object SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
 E86320 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: SAM | Statement: [Curiosity rover, instrument, SAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAM
Context triple: [Curiosity rover, instrument, SAM]
  • A. Sam
    Sam is a person whose given name is Sam.
  • B. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • C. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • 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: SAM
Triple: [Curiosity rover, instrument, SAM]
Generated description
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAM
Target entity description: SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • A. Sam
    Sam is a person whose given name is Sam.
  • B. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • C. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c011948190b2cfccd8fe722742 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375e24248190b53efa0bfc29567a completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63b580b3c81909fe2ba1b0aa958b6 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bbb8e9881909d5ab68c4a47eb5c completed March 3, 2026, 1:39 a.m.
Created at: March 1, 2026, 7:37 p.m.