Triple
T15120641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murum Dam |
E361160
|
entity |
| Predicate | locatedUpstreamOf |
P5955
|
FINISHED |
| Object | Bakun Dam |
E1138322
|
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: Bakun Dam | Statement: [Murum Dam, locatedUpstreamOf, Bakun Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakun Dam Context triple: [Murum Dam, locatedUpstreamOf, Bakun Dam]
-
A.
Bakun Dam
chosen
Bakun Dam is one of Southeast Asia’s largest hydroelectric dams, located on the Balui River in Sarawak, Malaysia, and a major source of power for the region.
-
B.
Bakun
Bakun is a remote mountain municipality in the Philippine province of Benguet known for its rugged landscapes, waterfalls, and hiking trails.
-
C.
Angat Dam
Angat Dam is a major concrete water reservoir and hydroelectric facility in Bulacan, Philippines, that supplies much of Metro Manila’s potable water and power.
-
D.
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.
-
E.
Umiam Dam
Umiam Dam is a major hydroelectric and water storage dam in Meghalaya, India, that created the scenic Umiam Lake and supports regional power generation, irrigation, and tourism.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059e036c8190959ff3bde8f2356f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe3fe0081909d9d3a293373254b |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.