Triple
T18052222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gossypium |
E431948
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object |
Gossypium hirsutum
Gossypium hirsutum is the most widely cultivated cotton species in the world, commonly known as upland cotton, and is the primary source of global cotton fiber production.
|
E431948
|
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: Gossypium hirsutum | Statement: [Gossypium, hasSpecies, Gossypium hirsutum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gossypium hirsutum Context triple: [Gossypium, hasSpecies, Gossypium hirsutum]
-
A.
Gossypium
Gossypium is a genus of flowering plants best known for producing cotton, one of the world’s most important natural textile fibers.
-
B.
Cotton
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
-
C.
Cotton
Cotton is a common English surname with historical associations to several notable British families and figures.
-
D.
Glycine max
Glycine max is the cultivated soybean plant, a major legume crop grown worldwide for its protein- and oil-rich seeds used in food, feed, and industrial products.
-
E.
Arachis
Arachis is a genus of flowering legumes best known for including the cultivated peanut, Arachis hypogaea.
- 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: Gossypium hirsutum Triple: [Gossypium, hasSpecies, Gossypium hirsutum]
Generated description
Gossypium hirsutum is the most widely cultivated cotton species in the world, commonly known as upland cotton, and is the primary source of global cotton fiber production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gossypium hirsutum Target entity description: Gossypium hirsutum is the most widely cultivated cotton species in the world, commonly known as upland cotton, and is the primary source of global cotton fiber production.
-
A.
Gossypium
chosen
Gossypium is a genus of flowering plants best known for producing cotton, one of the world’s most important natural textile fibers.
-
B.
Cotton
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
-
C.
Cotton
Cotton is a common English surname with historical associations to several notable British families and figures.
-
D.
Glycine max
Glycine max is the cultivated soybean plant, a major legume crop grown worldwide for its protein- and oil-rich seeds used in food, feed, and industrial products.
-
E.
Arachis
Arachis is a genus of flowering legumes best known for including the cultivated peanut, Arachis hypogaea.
- F. None of above.
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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349c130788190b6c4aeaf2e1f2e97 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034b81d3a4819087f9ead00f13635e |
completed | May 12, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034c190a58819096c77a2254511256 |
completed | May 12, 2026, 3:49 p.m. |
Created at: April 10, 2026, 10:25 a.m.