Triple
T36629195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Or |
E904262
|
entity |
| Predicate | natureOfItem |
P186102
|
FINISHED |
| Object | freshwater river |
—
|
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: freshwater river | Statement: [Or, natureOfItem, freshwater river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfItem Context triple: [Or, natureOfItem, freshwater river]
-
A.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
B.
isNonFoodProduct
Indicates that the referenced item is classified as a product that is not intended for consumption as food.
-
C.
artifactType
Indicates the specific kind or category of artifact that an entity is classified as.
-
D.
indicationOfProduct
Indicates that something serves as evidence, a sign, or a marker pointing to the existence, presence, or relevance of a particular product.
-
E.
categoryIUsedFor
Indicates that one entity is used as a category or classification label for another entity.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.