Triple
T7236073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irwin mango |
E155229
|
entity |
| Predicate | treeHabit |
P75939
|
FINISHED |
| Object | compact |
—
|
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: compact | Statement: [Irwin mango, treeHabit, compact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeHabit Context triple: [Irwin mango, treeHabit, compact]
-
A.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
B.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
C.
isWoodyPlant
Indicates that the subject is a plant characterized by persistent, woody stems or trunks that remain above ground year-round.
-
D.
treeUse
Indicates the way in which a tree is utilized or purposed within a given context.
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- F. None of above. chosen
Provenance (4 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_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6ea539f5c81908001524149903559 |
completed | March 27, 2026, 8:36 p.m. |
Created at: March 27, 2026, 2:55 p.m.