Triple
T10229818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Code of Nomenclature for algae, fungi, and plants |
E243308
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ICNafp
ICNafp is the standardized set of rules governing the scientific naming of algae, fungi, and plants used by botanists and mycologists worldwide.
|
E851326
|
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: ICNafp | Statement: [International Code of Nomenclature for algae, fungi, and plants, abbreviation, ICNafp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICNafp Context triple: [International Code of Nomenclature for algae, fungi, and plants, abbreviation, ICNafp]
-
A.
ICN
ICN is the IATA airport code for Incheon International Airport, South Korea’s largest and primary international gateway serving the Seoul metropolitan area.
-
B.
ICN
ICN is a global network of competition authorities that promotes cooperation and convergence in antitrust enforcement and policy.
-
C.
NAF
NAF is a Norwegian trade union representing general workers across various industries.
-
D.
NAF
NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
-
E.
NAP
NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
- 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: ICNafp Triple: [International Code of Nomenclature for algae, fungi, and plants, abbreviation, ICNafp]
Generated description
ICNafp is the standardized set of rules governing the scientific naming of algae, fungi, and plants used by botanists and mycologists worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ICNafp Target entity description: ICNafp is the standardized set of rules governing the scientific naming of algae, fungi, and plants used by botanists and mycologists worldwide.
-
A.
ICN
ICN is the IATA airport code for Incheon International Airport, South Korea’s largest and primary international gateway serving the Seoul metropolitan area.
-
B.
ICN
ICN is a global network of competition authorities that promotes cooperation and convergence in antitrust enforcement and policy.
-
C.
NAF
NAF is a Norwegian trade union representing general workers across various industries.
-
D.
NAF
NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
-
E.
NAP
NAP is the IATA airport code for Naples International Airport, the main air gateway serving the city of Naples in southern Italy.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.