Triple
T7236051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irwin mango |
E155229
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Mangifera |
E25493
|
NE FINISHED |
How this triple was built (2 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: Mangifera | Statement: [Irwin mango, genus, Mangifera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangifera Context triple: [Irwin mango, genus, Mangifera]
-
A.
Mangifera
chosen
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
B.
Mangifera indica 'Tommy Atkins'
Mangifera indica 'Tommy Atkins' is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
-
C.
Mango
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
-
D.
Durio
Durio is a genus of tropical trees best known for producing durian, a large, spiky fruit famous for its strong odor and rich, custard-like flesh.
-
E.
Litchi
Litchi is a tropical fruit-bearing tree genus best known for producing sweet, aromatic lychee fruits with rough red skins and translucent white flesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea33dd3481908ebb050e1fab5aaa |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc32d6c48190ae78b3d1227bb868 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.