Triple
T3225590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red River of the South |
E67613
|
entity |
| Predicate | colorNameOrigin |
P3325
|
FINISHED |
| Object | reddish sediment it carries |
—
|
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: reddish sediment it carries | Statement: [Red River of the South, colorNameOrigin, reddish sediment it carries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorNameOrigin Context triple: [Red River of the South, colorNameOrigin, reddish sediment it carries]
-
A.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
B.
seaNameEtymology
Indicates the origin or derivation of the name given to a particular sea.
-
C.
etymologyRegion
Indicates the geographic region from which a word’s etymological origin or historical linguistic development is derived.
-
D.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
E.
etymologyPossibleMeaning
Indicates a possible or hypothesized meaning that an etymological analysis suggests for a word or term.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.