Triple
T27295365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Bueno basin |
E688746
|
entity |
| Predicate | hasLakeInHeadwaters |
P143685
|
FINISHED |
| Object | Ranco Lake |
—
|
NE NERFINISHED |
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: Ranco Lake | Statement: [Río Bueno basin, hasLakeInHeadwaters, Ranco Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLakeInHeadwaters Context triple: [Río Bueno basin, hasLakeInHeadwaters, Ranco Lake]
-
A.
hasMajorLakeAtSource
chosen
Indicates that the source of a river or stream is located in, or directly associated with, a major lake.
-
B.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
C.
hasFreshwaterLake
Indicates that one entity possesses, contains, or is associated with a freshwater lake.
-
D.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
-
E.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 11:18 a.m.