Triple

T29361358
Position Surface form Disambiguated ID Type / Status
Subject Ethiopia and Eritrea E744598 entity
Predicate EthiopiaCurrency P2878 FINISHED
Object Ethiopian birr 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: Ethiopian birr | Statement: [Ethiopia and Eritrea, EthiopiaCurrency, Ethiopian birr]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: EthiopiaCurrency
Context triple: [Ethiopia and Eritrea, EthiopiaCurrency, Ethiopian birr]
  • A. currencyNameInKinyarwanda
    Indicates the name used for a given currency when expressed in the Kinyarwanda language.
  • B. currencyProject
    Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
  • C. valueRelativeToAkçe
    Indicates the value of something expressed in terms of, or relative to, the akçe monetary unit.
  • D. currencyDepicted
    Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
  • E. isLegalTenderFor chosen
    Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
  • 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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6698892e88190b076bb0cdf159d8b completed May 2, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 2:18 p.m.