Triple
T26600838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Mine pit lake |
E667627
|
entity |
| Predicate | basinShape |
P161047
|
FINISHED |
| Object | roughly circular open-pit basin |
—
|
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: roughly circular open-pit basin | Statement: [Republic Mine pit lake, basinShape, roughly circular open-pit basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basinShape Context triple: [Republic Mine pit lake, basinShape, roughly circular open-pit basin]
-
A.
basinShape
chosen
Indicates the characteristic form or contour of a basin, describing how its surface or boundaries are shaped.
-
B.
drainageBasinShape
Indicates the characteristic geometric form or outline of a drainage basin as defined by its boundary and flow patterns.
-
C.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
D.
basinFeature
Indicates that one entity is a physical feature or component located within or forming part of a basin.
-
E.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 2:12 a.m.