Triple
T4123005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahraini dinar |
E92656
|
entity |
| Predicate | regionCurrencyGroup |
P18115
|
FINISHED |
| Object | Gulf Cooperation Council region |
—
|
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: Gulf Cooperation Council region | Statement: [Bahraini dinar, regionCurrencyGroup, Gulf Cooperation Council region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionCurrencyGroup Context triple: [Bahraini dinar, regionCurrencyGroup, Gulf Cooperation Council region]
-
A.
regionalGrouping
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
B.
currencyArea
chosen
Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
-
C.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
D.
NUTSRegionCode
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
E.
countryOrRegion
Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.