Triple
T23403548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagdo Reservoir |
E559571
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Lagdo 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: Lagdo Dam | Statement: [Lagdo Reservoir, createdBy, Lagdo Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagdo Dam Context triple: [Lagdo Reservoir, createdBy, Lagdo Dam]
-
A.
Lagdo Dam
chosen
Lagdo Dam is a major hydroelectric and irrigation dam on the Benue River in northern Cameroon, built to generate power and support regional water management.
-
B.
Betania Dam
Betania Dam is a major hydroelectric dam and reservoir in Colombia, known for generating power and supporting irrigation and aquaculture in the Huila region.
-
C.
Bariri Dam
Bariri Dam is a hydroelectric and river regulation structure located on Brazil’s Tietê River, contributing to regional power generation and water management.
-
D.
Itezhi-Tezhi Dam
Itezhi-Tezhi Dam is a major hydroelectric and water-regulation dam in Zambia that helps control flows and generate power along the Kafue River system, a key tributary of the Zambezi.
-
E.
Imha Dam
Imha Dam is a major multipurpose dam in South Korea known for flood control, water supply, and hydroelectric power generation.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e16f9881908ea4bef465e3af11 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.