Triple

T23316509
Position Surface form Disambiguated ID Type / Status
Subject AL-03 E590720 entity
Predicate usesCodePrefix P133811 FINISHED
Object AL LITERAL 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: AL | Statement: [AL-03, usesCodePrefix, AL]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCodePrefix
Context triple: [AL-03, usesCodePrefix, AL]
  • A. tailCodePrefix
    Indicates that one entity’s tail code begins with, or is prefixed by, the string represented by the other entity.
  • B. usesCodeName
    Indicates that one entity refers to another entity by a code name or alias instead of its real or full designation.
  • C. languageOfCodePrefix
    Indicates that one entity is the programming language associated with, or identified by, the code prefix represented by the other entity.
  • D. topLevelCodePrefix chosen
    Indicates that one code serves as a primary or highest-level prefix from which another, more specific code is derived or categorized.
  • E. usesCodeSpace
    Indicates that one entity employs or operates within a particular code space or coding environment provided by another entity.
  • F. None of above.

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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197816024819086c547ba89f84286 completed April 29, 2026, 5:30 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:06 p.m.