Triple

T10787906
Position Surface form Disambiguated ID Type / Status
Subject CSM-103 E254494 entity
Predicate precededBy P97 FINISHED
Object CSM-101
CSM-101 is an earlier model in the CSM series, serving as the direct predecessor to CSM-103.
 E885927 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: CSM-101 | Statement: [CSM-103, precededBy, CSM-101]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CSM-101
Context triple: [CSM-103, precededBy, CSM-101]
  • A. CSM-103
    CSM-103 was the Apollo 8 command and service module spacecraft that carried the first humans to orbit the Moon in 1968.
  • B. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • C. CSM
    CSM is the Italian High Council of the Judiciary, the constitutional body that oversees the independence, careers, and discipline of judges and public prosecutors in Italy.
  • D. CSM
    CSM is the abbreviation for the College of Science and Mathematics at California State University, Fresno, which offers undergraduate and graduate programs in the natural and mathematical sciences.
  • E. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • 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: CSM-101
Triple: [CSM-103, precededBy, CSM-101]
Generated description
CSM-101 is an earlier model in the CSM series, serving as the direct predecessor to CSM-103.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CSM-101
Target entity description: CSM-101 is an earlier model in the CSM series, serving as the direct predecessor to CSM-103.
  • A. CSM-103
    CSM-103 was the Apollo 8 command and service module spacecraft that carried the first humans to orbit the Moon in 1968.
  • B. CSM
    CSM is the common abbreviation for C.S. Marítimo, a professional football club based in Funchal, Madeira, Portugal.
  • C. CSM
    CSM is the Italian High Council of the Judiciary, the constitutional body that oversees the independence, careers, and discipline of judges and public prosecutors in Italy.
  • D. CSM
    CSM is the abbreviation for the College of Science and Mathematics at California State University, Fresno, which offers undergraduate and graduate programs in the natural and mathematical sciences.
  • E. CSM
    CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d65fcc8190ab5573a861409c56 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de56199d088190938a72105540cf66 completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.