Triple

T22764817
Position Surface form Disambiguated ID Type / Status
Subject Egyptian interbank market E563092 entity
Predicate liquiditySourceFor P65105 FINISHED
Object Egyptian banking sector 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: Egyptian banking sector | Statement: [Egyptian interbank market, liquiditySourceFor, Egyptian banking sector]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: liquiditySourceFor
Context triple: [Egyptian interbank market, liquiditySourceFor, Egyptian banking sector]
  • A. liquidityScreening
    Indicates that an entity is evaluated or filtered based on its ability to meet short-term financial obligations or convert assets to cash (i.e., its liquidity).
  • B. hasLiquidityCharacteristic
    Indicates that one entity possesses or is associated with a particular liquidity-related property or feature in relation to another entity.
  • C. qualifyingSource
    Indicates that one entity serves as the source or basis that provides the necessary conditions or qualifications for another entity or statement.
  • D. sourceOfCapital chosen
    Indicates the origin or provider from which an entity obtains its financial capital or funding.
  • E. distributorOfSource
    Indicates that one entity acts as the distributor or provider of a particular source, making that source available to others.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7f56848190b5e90f9916a5b349 completed April 29, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69eed2b88d88819096015deb6a648801 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:26 p.m.