Triple

T7879748
Position Surface form Disambiguated ID Type / Status
Subject GHS E182946 entity
Predicate minorUnitName P7042 FINISHED
Object pesewa
The pesewa is the fractional monetary unit of Ghana, representing one-hundredth of a Ghanaian cedi.
 E701172 NE FINISHED

How this triple was built (4 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: pesewa | Statement: [GHS, minorUnitName, pesewa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: pesewa
Context triple: [GHS, minorUnitName, pesewa]
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • C. Hyra
    Hyra is the surname of American actress and producer Meg Ryan, known for her roles in popular romantic comedies of the late 20th century.
  • D. perpera
    The perpera was a medieval Bulgarian coin and monetary unit used during the Second Bulgarian Empire.
  • E. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: pesewa
Triple: [GHS, minorUnitName, pesewa]
Generated description
The pesewa is the fractional monetary unit of Ghana, representing one-hundredth of a Ghanaian cedi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: pesewa
Target entity description: The pesewa is the fractional monetary unit of Ghana, representing one-hundredth of a Ghanaian cedi.
  • A. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • B. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • C. Hyra
    Hyra is the surname of American actress and producer Meg Ryan, known for her roles in popular romantic comedies of the late 20th century.
  • D. perpera
    The perpera was a medieval Bulgarian coin and monetary unit used during the Second Bulgarian Empire.
  • E. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • F. None of above. chosen

Provenance (5 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39be7ab88190affcd353a0cd37fa completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:57 p.m.