Triple
T27349584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapainawabganj |
E684318
|
entity |
| Predicate | hasMangoVariety |
P8128
|
FINISHED |
| Object | Fazli mango |
—
|
NE NERFINISHED |
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: Fazli mango | Statement: [Chapainawabganj, hasMangoVariety, Fazli mango]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMangoVariety Context triple: [Chapainawabganj, hasMangoVariety, Fazli mango]
-
A.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
B.
hasCherryTreeVarieties
Indicates that an entity possesses or includes multiple varieties of cherry trees.
-
C.
hasCultivar
chosen
Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
-
D.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
E.
isPrimaryVarietyOf
Indicates that one variety is the main or principal form of another related variety or entity.
- F. None of above.
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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: April 27, 2026, 11:47 a.m.