Triple
T14667174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafue Gorge Lower Power Station |
E344407
|
entity |
| Predicate | mainContractor |
P7138
|
FINISHED |
| Object | Sinohydro |
E966574
|
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: Sinohydro | Statement: [Kafue Gorge Lower Power Station, mainContractor, Sinohydro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinohydro Context triple: [Kafue Gorge Lower Power Station, mainContractor, Sinohydro]
-
A.
Sinohydro
chosen
Sinohydro is a major Chinese state-owned engineering and construction company best known for building large-scale hydropower and infrastructure projects worldwide.
-
B.
Erui
Erui is a minor river in J.R.R. Tolkien’s Middle-earth that flows through Gondor as a tributary of the Anduin.
-
C.
Tsinan
Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
-
D.
Shandao
Shandao was a prominent 7th-century Chinese Buddhist monk and commentator whose writings systematized and greatly influenced the development of Pure Land Buddhism.
-
E.
Xiantong
Xiantong was the reign era name used by Emperor Xizong during a late period of the Tang dynasty in China.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.