Triple

T12516339
Position Surface form Disambiguated ID Type / Status
Subject lzip E299199 entity
Predicate hasMagicNumber P74592 FINISHED
Object "LZIP" E299199 NE FINISHED

How this triple was built (2 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: "LZIP" | Statement: [lzip, hasMagicNumber, "LZIP"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "LZIP"
Context triple: [lzip, hasMagicNumber, "LZIP"]
  • A. lzip chosen
    lzip is a lossless data compression program and file format known for its high compression ratios, data integrity features, and use in software distribution archives.
  • B. LZIB
    LZIB is the ICAO airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
  • C. LZ 4
    LZ 4 was an early experimental German rigid airship built by Count Zeppelin that became famous after its 1908 crash and fire, which nonetheless spurred public support for further airship development.
  • D. LZA
    LZA is the regional vehicle registration code assigned to motor vehicles registered in the city of Zamość in Poland.
  • E. LZH
    LZH is the IATA airport code for Liuzhou Bailian Airport, a commercial airport serving Liuzhou in Guangxi, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.