Triple
T15257444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekka |
E364683
|
entity |
| Predicate | organisedBy |
P123
|
FINISHED |
| Object |
RNA
RNA (Ribonucleic Acid) is a vital biological macromolecule that plays key roles in coding, decoding, regulation, and expression of genes in all living organisms.
|
E1147342
|
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: RNA | Statement: [Ekka, organisedBy, RNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RNA Context triple: [Ekka, organisedBy, RNA]
-
A.
DRNA
DRNA is the commonly used acronym for Puerto Rico’s Department of Natural and Environmental Resources, the government agency responsible for managing and protecting the island’s natural resources and environment.
-
B.
CDNA
CDNA is AMD’s GPU architecture family optimized for high-performance computing and data center workloads, emphasizing compute efficiency over traditional graphics features.
-
C.
DNA
DNA is the unicameral legislative body and main law-making institution of the Republic of Suriname.
-
D.
DNA
DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
-
E.
DNA
DNA is the ICAO airline designator assigned to Dana Air, a Nigerian domestic airline.
- 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: RNA Triple: [Ekka, organisedBy, RNA]
Generated description
RNA (Ribonucleic Acid) is a vital biological macromolecule that plays key roles in coding, decoding, regulation, and expression of genes in all living organisms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RNA Target entity description: RNA (Ribonucleic Acid) is a vital biological macromolecule that plays key roles in coding, decoding, regulation, and expression of genes in all living organisms.
-
A.
DRNA
DRNA is the commonly used acronym for Puerto Rico’s Department of Natural and Environmental Resources, the government agency responsible for managing and protecting the island’s natural resources and environment.
-
B.
CDNA
CDNA is AMD’s GPU architecture family optimized for high-performance computing and data center workloads, emphasizing compute efficiency over traditional graphics features.
-
C.
DNA
DNA is the unicameral legislative body and main law-making institution of the Republic of Suriname.
-
D.
DNA
DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
-
E.
DNA
DNA (deoxyribonucleic acid) is the hereditary molecule in almost all living organisms, encoding genetic instructions that guide development, function, and reproduction.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f7bd2081909c003deb3a692f18 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee8a977a48190940f0ed1aedea955 |
completed | May 9, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee9fd19708190afe3ec4c4eacfe66 |
completed | May 9, 2026, 8:02 a.m. |
Created at: April 10, 2026, 3:13 a.m.