Triple
T1996657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile tilapia |
E43373
|
entity |
| Predicate | processingUse |
P35348
|
FINISHED |
| Object | fresh market |
—
|
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: fresh market | Statement: [Nile tilapia, processingUse, fresh market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processingUse Context triple: [Nile tilapia, processingUse, fresh market]
-
A.
usedProcess
Indicates that an entity employed or applied a particular process to achieve a result or perform an action.
-
B.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
C.
secondaryProcess
Indicates that an action or process occurs as a secondary, supporting, or subordinate operation relative to a primary process.
-
D.
actualUse
Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
-
E.
processType
Indicates the specific kind or category of process that an entity or activity belongs to.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.