Triple
T7732533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mun River |
E175295
|
entity |
| Predicate | hydropowerProject |
P15311
|
FINISHED |
| Object | Pak Mun Dam |
E686185
|
NE 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: Pak Mun Dam | Statement: [Mun River, hydropowerProject, Pak Mun Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pak Mun Dam Context triple: [Mun River, hydropowerProject, Pak Mun Dam]
-
A.
Pak Mun Dam
chosen
Pak Mun Dam is a controversial hydroelectric dam in northeastern Thailand known for its significant social and ecological impacts on communities along the Mun River.
-
B.
Baishan Dam
Baishan Dam is a major hydroelectric and flood-control dam in northeastern China, known for its large reservoir and role in regional power generation.
-
C.
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.
-
D.
Harangi Dam
Harangi Dam is a masonry dam built across the Harangi River, a tributary of the Kaveri, in Karnataka, India, primarily used for irrigation and water storage.
-
E.
Jirau Dam
Jirau Dam is a large hydroelectric power plant in Brazil, built on the Madeira River as part of the country’s major Amazon basin energy infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c12e0081908eb984ba9bc558ff |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:06 p.m.