Triple

T16445565
Position Surface form Disambiguated ID Type / Status
Subject Fraenkel–Mostowski permutation models E399414 entity
Predicate constructedIn P9915 FINISHED
Object ZFA
ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
 E1213068 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: ZFA | Statement: [Fraenkel–Mostowski permutation models, constructedIn, ZFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZFA
Context triple: [Fraenkel–Mostowski permutation models, constructedIn, ZFA]
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. FZAA
    FZAA is the ICAO airport code for N’djili International Airport, the main international gateway serving Kinshasa in the Democratic Republic of the Congo.
  • C. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • D. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • E. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • 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: ZFA
Triple: [Fraenkel–Mostowski permutation models, constructedIn, ZFA]
Generated description
ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZFA
Target entity description: ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. FZAA
    FZAA is the ICAO airport code for N’djili International Airport, the main international gateway serving Kinshasa in the Democratic Republic of the Congo.
  • C. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • D. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • E. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045922d748190bb3200c96f244149 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00473d31308190ab836c09da2a82da completed May 10, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b64ed48190bf3ef07688c1a283 completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.