Triple
T18769299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nam Ngum |
E458972
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Nam Ngum Dam |
—
|
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: Nam Ngum Dam | Statement: [Nam Ngum, knownFor, Nam Ngum Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam Ngum Dam Context triple: [Nam Ngum, knownFor, Nam Ngum Dam]
-
A.
Kpong Dam
Kpong Dam is a hydroelectric power facility on Ghana’s Volta River that generates electricity and supports irrigation and water supply in the region.
-
B.
Nam Ngum Reservoir
chosen
Nam Ngum Reservoir is a large artificial lake in central Laos, known for its hydroelectric dam, fisheries, and role as a major water and tourism resource for the region.
-
C.
Tai Dam of Laos
Tai Dam of Laos is a regional variety of the Tai Dam language spoken by Tai Dam communities living in Laos.
-
D.
Thein Dam
Thein Dam, also known as Ranjit Sagar Dam, is a major multipurpose hydroelectric and irrigation dam located on the Ravi River in northern India.
-
E.
Mae Klong Dam
Mae Klong Dam is a major multi-purpose dam in western Thailand that provides irrigation water, flood control, and hydroelectric power along the Mae Klong River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d867264819098ae35c9feab3bb4 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.