Triple
T15162922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miskhor Park |
E362261
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Koreiz |
E67751
|
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: Koreiz | Statement: [Miskhor Park, near, Koreiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koreiz Context triple: [Miskhor Park, near, Koreiz]
-
A.
Koreiz
chosen
Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
-
B.
Koreets
Koreets was a Russian Imperial Navy gunboat that gained historical note for its role in the Russo-Japanese War, particularly during the opening naval actions near Chemulpo.
-
C.
Kuneē
Kuneē is the mythological helmet worn by Hades that grants its wearer invisibility in Greek mythology.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064b21ac81908b793bdbd741bcd8 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec885d68c8190999529b69bc34fec |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:08 a.m.