Triple
T1431474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Park |
E30454
|
entity |
| Predicate | productArea |
P16090
|
FINISHED |
| Object | activity trackers |
—
|
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: activity trackers | Statement: [James Park, productArea, activity trackers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productArea Context triple: [James Park, productArea, activity trackers]
-
A.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
B.
scopeOfProducts
chosen
Indicates the range or extent of products that fall under a particular category, responsibility, or context.
-
C.
productFamily
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
D.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
-
E.
featuredArea
Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.