Triple
T19867154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaporizhzhia Nuclear Power Plant |
E477419
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Enerhodar |
—
|
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: Enerhodar | Statement: [Zaporizhzhia Nuclear Power Plant, locatedIn, Enerhodar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enerhodar Context triple: [Zaporizhzhia Nuclear Power Plant, locatedIn, Enerhodar]
-
A.
Enerhen
Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
-
B.
Eneryda
Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
-
C.
Energodar
chosen
Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
-
D.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
-
E.
Emporis
Emporis is a global database and information provider specializing in high-rise buildings, architecture, and construction projects.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.