Triple
T1210976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haden mango |
E25998
|
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: [Haden mango, genus, Mangifera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangifera Context triple: [Haden 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.
Mango
Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
-
C.
Keitt mango
Keitt mango is a late-season, large, green-skinned mango cultivar prized for its sweet, fiberless flesh and extended shelf life.
-
D.
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.
-
E.
Banana
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacaf11588190b0bbc1d280bf9a78 |
completed | March 7, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:46 p.m.