Triple
T10048104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koka Reservoir |
E207668
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Koka Dam |
E837738
|
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: Koka Dam | Statement: [Koka Reservoir, hasDam, Koka Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koka Dam Context triple: [Koka Reservoir, hasDam, Koka Dam]
-
A.
Koka Dam
chosen
Koka Dam is a major hydroelectric and irrigation dam in Ethiopia that creates the Koka Reservoir on the Awash River.
-
B.
Ukai Dam
Ukai Dam is a major multi-purpose reservoir and hydroelectric dam in Gujarat, India, built on the Tapi River for irrigation, power generation, and flood control.
-
C.
Shimen Dam
Shimen Dam is a major concrete gravity dam in northern Taiwan that provides water supply, flood control, and hydroelectric power as part of the Shimen Reservoir system.
-
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.
Hoheikyo Dam
Hoheikyo Dam is a concrete arch dam in the mountainous outskirts of Sapporo, Japan, known for its scenic reservoir, autumn foliage, and nearby hot spring resorts.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a4064a48190b4fdb6bf3ea5af05 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:56 p.m.