Triple
T27547312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negro River |
E695396
|
entity |
| Predicate | waterAppearanceAtConfluence |
P60967
|
FINISHED |
| Object | sharp contrast between dark and muddy 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: sharp contrast between dark and muddy waters | Statement: [Negro River, waterAppearanceAtConfluence, sharp contrast between dark and muddy waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterAppearanceAtConfluence Context triple: [Negro River, waterAppearanceAtConfluence, sharp contrast between dark and muddy waters]
-
A.
waterAppearance
chosen
Indicates how the water involved in the situation looks or visually appears (e.g., its color, clarity, or surface condition).
-
B.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
C.
meetsWaterway
Indicates that one geographic feature or entity comes into contact with or joins a waterway such as a river, canal, or stream.
-
D.
watercourseFor
Indicates that one entity serves as the watercourse (such as a river or channel) associated with, carrying, or draining another entity.
-
E.
sourceOfWatercourse
Indicates that one entity is the origin or starting point from which a watercourse (such as a river or stream) begins or flows.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 1:33 p.m.