Triple

T25371649
Position Surface form Disambiguated ID Type / Status
Subject Swazi lilangeni E632945 entity
Predicate pluralSymbol P158246 FINISHED
Object E 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: E | Statement: [Swazi lilangeni, pluralSymbol, E]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pluralSymbol
Context triple: [Swazi lilangeni, pluralSymbol, E]
  • A. pluralMasculineForm
    Indicates that the referenced term is expressed in its plural form specifically for masculine grammatical gender.
  • B. pluralityJoinedBy
    Indicates that multiple entities are combined or grouped together into a single plural unit, typically linked by a coordinating connector (such as "and").
  • C. postnominalForm
    Indicates that one element appears in a position immediately following a noun, typically as a modifier or descriptive form placed after the noun it relates to.
  • D. singularName
    Indicates that an entity has a single-item or singular form of its name used to refer to one instance of that entity.
  • E. symbolizes
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • 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_69e75a90c0dc819092f928b6ea0ecc72 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4a11323e08190a8ec4687f8fefe7f completed May 1, 2026, 12:48 p.m.
PD Predicate disambiguation batch_69f45d0dbc8c8190beecce679fce90a4 completed May 1, 2026, 7:58 a.m.
PDg Predicate description generation batch_69f464ae42e88190b3549fdf4e0b425e completed May 1, 2026, 8:30 a.m.
Created at: April 21, 2026, 1:38 p.m.