Triple
T6331234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lerma River basin |
E142384
|
entity |
| Predicate | hasWetlandsAtMouth |
P70899
|
FINISHED |
| Object | Lake Chapala wetlands |
—
|
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: Lake Chapala wetlands | Statement: [Lerma River basin, hasWetlandsAtMouth, Lake Chapala wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWetlandsAtMouth Context triple: [Lerma River basin, hasWetlandsAtMouth, Lake Chapala wetlands]
-
A.
hasIslandAtMouth
Indicates that a geographic feature, typically a river, has an island located at or near its mouth where it meets a larger body of water.
-
B.
riverMouthType
Indicates the type or form of the feature where a river meets a larger body of water.
-
C.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
D.
hasMouthWaterbody
Indicates that a waterbody has a mouth, i.e., the location or feature where it empties or flows into another waterbody or area.
-
E.
riverMouthRegion
Indicates the region or area where a river flows into a larger body of water, such as a sea, lake, or another river.
- F. None of above. chosen
Provenance (4 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06514cbe8819096dbeb17ccb3e3d5 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:30 p.m.