Triple

T17412382
Position Surface form Disambiguated ID Type / Status
Subject Tiba E423399 entity
Predicate currency P245 FINISHED
Object Egyptian pound 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: Egyptian pound | Statement: [Tiba, currency, Egyptian pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egyptian pound
Context triple: [Tiba, currency, Egyptian pound]
  • A. Egyptian pound chosen
    The Egyptian pound is the official monetary unit of Egypt, used for everyday transactions, pricing, and financial operations throughout the country.
  • B. Sudanese pound
    The Sudanese pound is the official monetary unit of Sudan, used for everyday transactions and economic activities within the country.
  • C. Sudanese dinar
    The Sudanese dinar was the former currency of Sudan, used mainly in the 1990s and early 2000s before being replaced by a reintroduced Sudanese pound.
  • D. Palestine pound
    The Palestine pound was the official currency used in the British-administered territory of Palestine during the first half of the 20th century, pegged to and modeled on the British pound sterling.
  • E. Libyan dinar
    The Libyan dinar is the official monetary unit of Libya, used for everyday transactions and economic activities throughout the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0b56788190ba012788f32afb78 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.