Triple
T198246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mango |
E4043
|
entity |
| Predicate | hasCultivar |
P8128
|
FINISHED |
| Object |
Kent mango
Kent mango is a popular late-season mango cultivar known for its large size, sweet, fiberless flesh, and rich flavor.
|
E26692
|
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: Kent mango | Statement: [Mango, hasCultivar, Kent mango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent mango Context triple: [Mango, hasCultivar, Kent mango]
-
A.
Haden mango
Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
-
B.
Mango
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
-
C.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
D.
Tommy Atkins mango
Tommy Atkins mango is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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: Kent mango Triple: [Mango, hasCultivar, Kent mango]
Generated description
Kent mango is a popular late-season mango cultivar known for its large size, sweet, fiberless flesh, and rich flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kent mango Target entity description: Kent mango is a popular late-season mango cultivar known for its large size, sweet, fiberless flesh, and rich flavor.
-
A.
Haden mango
Haden mango is a historically important and widely grown mango cultivar from Florida known for its rich flavor, vibrant color, and role as a parent to many modern mango varieties.
-
B.
Mango
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
-
C.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
D.
Tommy Atkins mango
Tommy Atkins mango is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a260c178ac819085eb94ccaf64b780 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32f27fa1c8190b9ad851b2c1af98a |
completed | Feb. 28, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69a32fcd0d20819090726b005b2e3c90 |
completed | Feb. 28, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3303677cc8190a72966887c6c1d55 |
completed | Feb. 28, 2026, 6:13 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.