Triple
T2458448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan afghani |
E54475
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
AFN
AFN is the three-letter ISO 4217 currency code representing the Afghan afghani, the official currency of Afghanistan.
|
E268643
|
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: AFN | Statement: [Afghan afghani, ISO4217Code, AFN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFN Context triple: [Afghan afghani, ISO4217Code, AFN]
-
A.
AFN
AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
-
B.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
-
C.
AFC
The AFC (Asian Football Confederation) is the governing body for association football in Asia, overseeing international competitions and member associations across the continent.
-
D.
AFC
The AFC (American Football Conference) is one of the two conferences that make up the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
-
E.
AFC
AFC is a British military decoration, the Air Force Cross, awarded for exemplary gallantry while flying but not in active operations against the enemy.
- 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: AFN Triple: [Afghan afghani, ISO4217Code, AFN]
Generated description
AFN is the three-letter ISO 4217 currency code representing the Afghan afghani, the official currency of Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFN Target entity description: AFN is the three-letter ISO 4217 currency code representing the Afghan afghani, the official currency of Afghanistan.
-
A.
AFN
AFN is an abbreviation commonly used to refer to French North Africa, the former French colonial territories in the Maghreb region of North Africa.
-
B.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
-
C.
AFC
The AFC (Asian Football Confederation) is the governing body for association football in Asia, overseeing international competitions and member associations across the continent.
-
D.
AFC
The AFC (American Football Conference) is one of the two conferences that make up the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
-
E.
AFC
AFC is a British military decoration, the Air Force Cross, awarded for exemplary gallantry while flying but not in active operations against the enemy.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10860188190bfc4c554914487b4 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0cd7adc8190b855eb28285fefc5 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef537e0588190b6838ef34d1031ab |
completed | March 9, 2026, 4:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef98dcbd08190a371019f616ad820 |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 6, 2026, 9:44 p.m.