Triple
T38620821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selenge River |
E936859
|
entity |
| Predicate | largestInfluxTo |
P191647
|
FINISHED |
| Object | Lake Baikal watershed |
—
|
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 Baikal watershed | Statement: [Selenge River, largestInfluxTo, Lake Baikal watershed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestInfluxTo Context triple: [Selenge River, largestInfluxTo, Lake Baikal watershed]
-
A.
largestConcentrationIn
Indicates that something has its highest density, amount, or presence within a specified location or group compared to all other locations or groups.
-
B.
largestSingleDrop
Indicates that one entity represents the greatest individual decrease (or loss) in a specified quantity relative to all comparable entities or time periods.
-
C.
largestInCountry
Indicates that an entity is the largest of its kind within the specified country.
-
D.
circulationPeak
Indicates the highest level or maximum point reached in the circulation of something (such as money, media, or resources) within a given period or system.
-
E.
waterLevelHighestIn
Indicates that the referenced location or container has the greatest water level compared to a specified set of locations or containers.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce54532948190a5cfacfe18e09322 |
completed | May 7, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:32 p.m.