Triple

T892899
Position Surface form Disambiguated ID Type / Status
Subject Gibraltar pound E19279 entity
Predicate hasBanknotes P20769 FINISHED
Object yes 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: yes | Statement: [Gibraltar pound, hasBanknotes, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBanknotes
Context triple: [Gibraltar pound, hasBanknotes, yes]
  • A. typeOfBanknotes
    Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
  • B. frequentlyUsedBanknotes
    Indicates that the referenced banknotes are commonly or regularly used in transactions within a given context or system.
  • C. banknoteDenomination
    Indicates the specific face value assigned to a banknote in a given currency.
  • D. hasBanknotesIssuedBy
    Indicates that one entity possesses or contains banknotes that were issued by another entity.
  • E. issuesBanknotes
    Indicates that an entity (typically a central bank or monetary authority) produces and puts banknotes into official circulation as legal tender.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad0304b081908d4c92bb2beadb81 completed March 1, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69a4aa9372e88190b5a9db4afdc045c6 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4a38ec8190915916d80299ab55 completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:39 p.m.