Triple

T8026524
Position Surface form Disambiguated ID Type / Status
Subject Carnegie Irvine Galaxy Survey E186868 entity
Predicate shortName P43 FINISHED
Object CGS
CGS is an astronomical survey project focused on detailed optical imaging and analysis of nearby galaxies conducted by the Carnegie-Irvine collaboration.
 E706159 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: CGS | Statement: [Carnegie Irvine Galaxy Survey, shortName, CGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CGS
Context triple: [Carnegie Irvine Galaxy Survey, shortName, CGS]
  • A. CGS
    CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
  • B. CGS
    CGS is the acronym for the Chief of the General Staff, the professional head of the British Army.
  • C. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • D. GCSI
    GCSI is the post-nominal abbreviation for Knight Grand Commander of the Most Exalted Order of the Star of India, a high-ranking chivalric order of the former British Empire in India.
  • E. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • 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: CGS
Triple: [Carnegie Irvine Galaxy Survey, shortName, CGS]
Generated description
CGS is an astronomical survey project focused on detailed optical imaging and analysis of nearby galaxies conducted by the Carnegie-Irvine collaboration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CGS
Target entity description: CGS is an astronomical survey project focused on detailed optical imaging and analysis of nearby galaxies conducted by the Carnegie-Irvine collaboration.
  • A. CGS
    CGS is the IATA airport code for College Park Airport, a historic general aviation airfield in College Park, Maryland, USA.
  • B. CGS
    CGS is the acronym for the Chief of the General Staff, the professional head of the British Army.
  • C. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • D. GCSI
    GCSI is the post-nominal abbreviation for Knight Grand Commander of the Most Exalted Order of the Star of India, a high-ranking chivalric order of the former British Empire in India.
  • E. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecb00648190bb3144acf3492bb3 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56da597c8190931091482d60b0a6 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58aac4288190a2be4691fc740171 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbf8278819085ff32a0494d544e completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:21 p.m.