Triple

T15839682
Position Surface form Disambiguated ID Type / Status
Subject Ginga E384068 entity
Predicate secondaryInstrumentAcronym P45248 FINISHED
Object ASM
ASM is a secondary scientific instrument associated with the Ginga X-ray astronomy satellite, used for monitoring and analyzing X-ray sources in space.
 E1179697 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: ASM | Statement: [Ginga, secondaryInstrumentAcronym, ASM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASM
Context triple: [Ginga, secondaryInstrumentAcronym, ASM]
  • A. ASM
    ASM is a popular Java library for reading, modifying, and generating Java bytecode, widely used in tools such as compilers, profilers, and frameworks.
  • B. ASM
    ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
  • C. ASM
    ASM is the abbreviation for the American Society of Mammalogists, a professional organization dedicated to the study and conservation of mammals.
  • D. ASM
    ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
  • E. ASM
    ASM is the commonly used abbreviation for AS Monaco FC, a professional football club based in Monaco that competes in the French football league system.
  • 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: ASM
Triple: [Ginga, secondaryInstrumentAcronym, ASM]
Generated description
ASM is a secondary scientific instrument associated with the Ginga X-ray astronomy satellite, used for monitoring and analyzing X-ray sources in space.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASM
Target entity description: ASM is a secondary scientific instrument associated with the Ginga X-ray astronomy satellite, used for monitoring and analyzing X-ray sources in space.
  • A. ASM
    ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
  • B. ASM
    ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
  • C. ASM
    ASM is the commonly used abbreviation for AS Monaco FC, a professional football club based in Monaco that competes in the French football league system.
  • D. ASM
    ASM is the abbreviation for the American Society of Mammalogists, a professional organization dedicated to the study and conservation of mammals.
  • E. ASM
    ASM is a popular Java library for reading, modifying, and generating Java bytecode, widely used in tools such as compilers, profilers, and frameworks.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:49 a.m.