Triple
T16813789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dniprodzerzhynsk |
E408686
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Kamianske |
E412420
|
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: Kamianske | Statement: [Dniprodzerzhynsk, officialName, Kamianske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamianske Context triple: [Dniprodzerzhynsk, officialName, Kamianske]
-
A.
Kamianske
chosen
Kamianske is an industrial city in central Ukraine, historically known for its heavy metallurgy and chemical industries along the Dnieper River.
-
B.
Zhovkva
Zhovkva is a historic town in western Ukraine known for its well-preserved Renaissance architecture and multicultural heritage.
-
C.
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
-
D.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
E.
Kamianets-Podilskyi
Kamianets-Podilskyi is a historic city in western Ukraine renowned for its well-preserved medieval old town and impressive fortress overlooking the Smotrych River canyon.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29ea9fc81909087cdf28c9c9fc0 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:23 a.m.