Triple
T8908023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharkiv International Airport |
E212109
|
entity |
| Predicate | hasCityServed |
P3936
|
FINISHED |
| Object | Kharkiv, Ukraine |
E38108
|
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: Kharkiv, Ukraine | Statement: [Kharkiv International Airport, hasCityServed, Kharkiv, Ukraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharkiv, Ukraine Context triple: [Kharkiv International Airport, hasCityServed, Kharkiv, Ukraine]
-
A.
Kharkiv
chosen
Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
-
B.
Kremenchuk
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
C.
Kyiv
Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
-
D.
Dnipro
Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
-
E.
Okhtyrka
Okhtyrka is a historic city in northeastern Ukraine known as one of the principal centers of the Sloboda Ukraine region.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c6a87c81909331a39619f913c0 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d4d14df7888190aadd3f506b6b4cd2 |
completed | April 7, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:55 p.m.