Triple

T4830772
Position Surface form Disambiguated ID Type / Status
Subject Climax Series E107938 entity
Predicate alsoKnownAs P39 FINISHED
Object CS
CS is the common abbreviation for the Climax Series, a postseason playoff system used in Japan’s professional baseball leagues to determine league champions.
 E473092 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: CS | Statement: [Climax Series, alsoKnownAs, CS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CS
Context triple: [Climax Series, alsoKnownAs, CS]
  • A. CS
    CS is a common abbreviation used to refer to the city of College Station, Texas.
  • B. CS
    CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
  • C. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • D. CSE
    CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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: CS
Triple: [Climax Series, alsoKnownAs, CS]
Generated description
CS is the common abbreviation for the Climax Series, a postseason playoff system used in Japan’s professional baseball leagues to determine league champions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CS
Target entity description: CS is the common abbreviation for the Climax Series, a postseason playoff system used in Japan’s professional baseball leagues to determine league champions.
  • A. CS
    CS is a common abbreviation used to refer to the city of College Station, Texas.
  • B. CS
    CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
  • C. CSE
    CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
  • D. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc7c0148190a3147d5ff304ffb2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be51438c5881909f7456cdc3a60d98 completed March 21, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69be51a03f4c8190b04f0d3fe6486c24 completed March 21, 2026, 8:06 a.m.
Created at: March 20, 2026, 1:24 p.m.