Triple
T7236074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irwin mango |
E155229
|
entity |
| Predicate | productivity |
P12616
|
FINISHED |
| Object | high yielding |
—
|
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: high yielding | Statement: [Irwin mango, productivity, high yielding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productivity Context triple: [Irwin mango, productivity, high yielding]
-
A.
productivityLevel
chosen
Indicates the degree or intensity of how much useful output or work an entity produces over a given period or context.
-
B.
performanceFocus
Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
-
C.
focusesOnWork
Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
-
D.
professionalism
Indicates that an entity consistently behaves, communicates, and performs tasks in a manner that adheres to accepted standards of competence, ethics, and workplace conduct.
-
E.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
- 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_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. |
Created at: March 27, 2026, 2:55 p.m.