Triple
T5315337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshino River |
E119132
|
entity |
| Predicate | hasHydroelectricDam |
P15311
|
FINISHED |
| Object | Sameura Dam |
E511036
|
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: Sameura Dam | Statement: [Yoshino River, hasHydroelectricDam, Sameura Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sameura Dam Context triple: [Yoshino River, hasHydroelectricDam, Sameura Dam]
-
A.
Shiroro Dam
Shiroro Dam is a major hydroelectric power facility on the Kaduna River in Niger State, Nigeria, supplying electricity and supporting water management in the region.
-
B.
Ikeda Dam
chosen
Ikeda Dam is a major hydroelectric dam in Japan known for generating power and regulating water flow on the Yoshino River.
-
C.
Surobi Dam
Surobi Dam is a hydroelectric and irrigation dam located on the Kabul River in eastern Afghanistan.
-
D.
Doma Dam
Doma Dam is a reservoir and recreational site in Nasarawa State, Nigeria, known for its scenic views, fishing opportunities, and role in supporting local agriculture and water supply.
-
E.
Lodoyo Dam
Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854eb3248190b42a4b52f1c81bef |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf188d3a2c8190ad06d1b71ef73780 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:54 p.m.