Triple
T15538121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chersonese |
E370402
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Korsun |
E566878
|
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: Korsun | Statement: [Chersonese, alsoKnownAs, Korsun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korsun Context triple: [Chersonese, alsoKnownAs, Korsun]
-
A.
Korsun-Shevchenkivskyi
chosen
Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
-
B.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
-
C.
Kamenets-Podolsk
Kamenets-Podolsk is a historic city in western Ukraine that became the site of one of the earliest and largest mass shootings of Jews during the Holocaust.
-
D.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
E.
Chortkiv
Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0a12e081908d7d2ae7c9774f94 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:07 a.m.