Triple

T20851728
Position Surface form Disambiguated ID Type / Status
Subject Feferman–Schütte ordinal E513379 entity
Predicate alsoKnownAs P39 FINISHED
Object Γ₀
Γ₀ is a large countable ordinal that serves as a key proof-theoretic bound in predicative mathematics and ordinal analysis.
 E1453667 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: Γ₀ | Statement: [Feferman–Schütte ordinal, alsoKnownAs, Γ₀]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Γ₀
Context triple: [Feferman–Schütte ordinal, alsoKnownAs, Γ₀]
  • A. Gamma
    Gamma is a mid-level caste in Aldous Huxley’s dystopian novel "Brave New World," characterized by its members’ engineered intelligence and conditioning for routine, subordinate roles in society.
  • B. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • C. GKO
    GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
  • D. GÖD
    GÖD is the Austrian public sector trade union representing civil servants and public employees within the country’s broader labor movement.
  • E. GGG
    GGG is the three-letter IATA airport code for East Texas Regional Airport in Longview, Texas.
  • 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: Γ₀
Triple: [Feferman–Schütte ordinal, alsoKnownAs, Γ₀]
Generated description
Γ₀ is a large countable ordinal that serves as a key proof-theoretic bound in predicative mathematics and ordinal analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Γ₀
Target entity description: Γ₀ is a large countable ordinal that serves as a key proof-theoretic bound in predicative mathematics and ordinal analysis.
  • A. Gamma
    Gamma is a mid-level caste in Aldous Huxley’s dystopian novel "Brave New World," characterized by its members’ engineered intelligence and conditioning for routine, subordinate roles in society.
  • B. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • C. GKO
    GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
  • D. GÖD
    GÖD is the Austrian public sector trade union representing civil servants and public employees within the country’s broader labor movement.
  • E. GGG
    GGG is the three-letter IATA airport code for East Texas Regional Airport in Longview, Texas.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a3d8808190b8efce77ae36850e completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0790348190b6e89fb12eaff9d8 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090c627830819089b0a479efc42536 completed May 17, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a090cd6f0048190861b7a93560355aa completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:43 p.m.