Triple
T20053176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pezinok District |
E499255
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Malinovo |
—
|
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: Malinovo | Statement: [Pezinok District, containsMunicipality, Malinovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malinovo Context triple: [Pezinok District, containsMunicipality, Malinovo]
-
A.
Malinovo
chosen
Malinovo is a small village and municipality in western Slovakia known for its rural character within the Bratislava metropolitan area.
-
B.
Balabanovo
Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
-
C.
Khrabrovo
Khrabrovo is a locality in Russia’s Kaliningrad region best known for hosting Khrabrovo Airport, the main air gateway to Kaliningrad.
-
D.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
E.
Melnikovo
Melnikovo is a rural settlement located within the Priozersky District of Leningrad Oblast in northwestern Russia.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.