Triple
T4670294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonlé Sap River |
E102944
|
entity |
| Predicate | flowDirectionWetSeason |
P8846
|
FINISHED |
| Object | from Mekong River to Tonlé Sap Lake |
—
|
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: from Mekong River to Tonlé Sap Lake | Statement: [Tonlé Sap River, flowDirectionWetSeason, from Mekong River to Tonlé Sap Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowDirectionWetSeason Context triple: [Tonlé Sap River, flowDirectionWetSeason, from Mekong River to Tonlé Sap Lake]
-
A.
seasonalFlow
Indicates that the flow or intensity of something varies in a recurring pattern according to the seasons.
-
B.
drainageDirection
chosen
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
C.
pilgrimFlowDirection
Indicates the direction in which pilgrims move or travel along a route, path, or within a pilgrimage site.
-
D.
drySeason
Indicates that the relationship or action occurs during, or is characteristic of, a period with little or no rainfall.
-
E.
floodSeasonCause
Indicates the cause or contributing factor responsible for a particular flood season occurring.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.