Triple
T20270824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivaylovgrad Dam |
E499086
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | NEK EAD |
—
|
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: NEK EAD | Statement: [Ivaylovgrad Dam, operator, NEK EAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NEK EAD Context triple: [Ivaylovgrad Dam, operator, NEK EAD]
-
A.
NEK EAD
chosen
NEK EAD is Bulgaria’s state-owned National Electric Company, responsible for electricity generation, transmission, and operation of major hydropower and dam facilities.
-
B.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
C.
ENK
ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
Enneko
Enneko is a given name of Basque origin, often considered a variant of the name Eneko.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.