Triple
T775350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow River |
E16374
|
entity |
| Predicate | hasColorOrigin |
P3325
|
FINISHED |
| Object | named for its yellow, silt-laden waters |
—
|
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: named for its yellow, silt-laden waters | Statement: [Yellow River, hasColorOrigin, named for its yellow, silt-laden waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOrigin Context triple: [Yellow River, hasColorOrigin, named for its yellow, silt-laden waters]
-
A.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
C.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
E.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.