Triple

T12516356
Position Surface form Disambiguated ID Type / Status
Subject lzip E299199 entity
Predicate comparedWith P278 FINISHED
Object xz E986435 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: xz | Statement: [lzip, comparedWith, xz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: xz
Context triple: [lzip, comparedWith, xz]
  • A. xz chosen
    xz is a modern lossless data compression format and toolset based on the LZMA algorithm, known for achieving high compression ratios and commonly used for software distribution and archival on Unix-like systems.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • D. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • E. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • 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_69f655745cec8190b5582eb4a339d501 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.