Triple

T25274885
Position Surface form Disambiguated ID Type / Status
Subject FLKK E633668 entity
Predicate replacedCodeFor P160911 FINISHED
Object Lusaka International Airport NE NERFINISHED

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: Lusaka International Airport | Statement: [FLKK, replacedCodeFor, Lusaka International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replacedCodeFor
Context triple: [FLKK, replacedCodeFor, Lusaka International Airport]
  • A. replacedCode
    Indicates that one piece of code has been substituted or superseded by another piece of code.
  • B. replacedClass
    Indicates that one class has been superseded or substituted by another class, typically in a versioning or refactoring context.
  • C. replacedScript
    Indicates that one script has been substituted for or superseded by another script.
  • D. codeFor
    Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
  • E. replacedWith
    Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
  • F. None of above. chosen

Provenance (4 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_69e75a92f48881909974ff9c11150a2e completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f60cd7b3e88190a1206958c0f0b225 completed May 2, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
PDg Predicate description generation batch_69f60c32ce088190a620eb59d2499fa9 completed May 2, 2026, 2:37 p.m.
Created at: April 21, 2026, 1:17 p.m.