Triple
T1223321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Atkins mango |
E26271
|
entity |
| Predicate | hasTreeGrowthHabit |
P571
|
FINISHED |
| Object | upright to spreading |
—
|
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: upright to spreading | Statement: [Tommy Atkins mango, hasTreeGrowthHabit, upright to spreading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTreeGrowthHabit Context triple: [Tommy Atkins mango, hasTreeGrowthHabit, upright to spreading]
-
A.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
B.
hasTrees
Indicates that something possesses or contains one or more trees.
-
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.
plantHeight
Indicates the measured vertical size or growth extent of a plant from its base to its top.
-
E.
growthForm
chosen
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.