Triple
T23473008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conserved Domain Database |
E570177
|
entity |
| Predicate | includesDataFrom |
P152409
|
FINISHED |
| Object |
COG
COG (Clusters of Orthologous Groups) is a database that classifies proteins from complete genomes into orthologous groups to aid in functional annotation and evolutionary analysis.
|
E1587956
|
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: COG | Statement: [Conserved Domain Database, includesDataFrom, COG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COG Context triple: [Conserved Domain Database, includesDataFrom, COG]
-
A.
COG
COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
-
B.
COG
COG is the fictional military-governmental organization known as the Coalition of Ordered Governments in the Gears of War video game series.
-
C.
COGTA
COGTA is the South African government portfolio responsible for overseeing cooperative governance, local government, and traditional affairs.
-
D.
T-Cog
The T-Cog is a vital Cybertronian internal mechanism that enables Transformers to scan, select, and physically convert into alternate modes.
-
E.
Cerebro
Cerebro is a powerful telepathic amplification device in the X-Men universe that allows Professor Charles Xavier to detect and locate mutants across the globe.
- 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: COG Triple: [Conserved Domain Database, includesDataFrom, COG]
Generated description
COG (Clusters of Orthologous Groups) is a database that classifies proteins from complete genomes into orthologous groups to aid in functional annotation and evolutionary analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COG Target entity description: COG (Clusters of Orthologous Groups) is a database that classifies proteins from complete genomes into orthologous groups to aid in functional annotation and evolutionary analysis.
-
A.
COG
COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
-
B.
COG
COG is the fictional military-governmental organization known as the Coalition of Ordered Governments in the Gears of War video game series.
-
C.
COGTA
COGTA is the South African government portfolio responsible for overseeing cooperative governance, local government, and traditional affairs.
-
D.
T-Cog
The T-Cog is a vital Cybertronian internal mechanism that enables Transformers to scan, select, and physically convert into alternate modes.
-
E.
Cerebro
Cerebro is a powerful telepathic amplification device in the X-Men universe that allows Professor Charles Xavier to detect and locate mutants across the globe.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70244208190bbd8f58ac16d4399 |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82604cc08190b36c6b9636b6bf42 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f06a348190bfdba0452077f45b |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 5:57 p.m.