Triple
T1211004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haden mango |
E25998
|
entity |
| Predicate | treeGrowthHabit |
P571
|
FINISHED |
| Object | dense canopy |
—
|
LITERAL 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: dense canopy | Statement: [Haden mango, treeGrowthHabit, dense canopy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeGrowthHabit Context triple: [Haden mango, treeGrowthHabit, dense canopy]
-
A.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
B.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
C.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
D.
growthForm
chosen
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
E.
evergreenHabit
Indicates that a plant maintains its foliage year-round rather than shedding leaves seasonally.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.