Triple
T20366861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malacky District |
E496934
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Malacky |
—
|
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: Malacky | Statement: [Malacky District, containsSettlement, Malacky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malacky Context triple: [Malacky District, containsSettlement, Malacky]
-
A.
Malacky
chosen
Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
-
B.
Zeměchy
Zeměchy is a local district or neighborhood that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
-
C.
Havran
Havran is a town and district in western Turkey known for its agricultural production and location within Balıkesir Province.
-
D.
Mladá
Mladá is a locality in the Czech Republic known primarily as a former military area that now forms an administrative part of the town of Milovice.
-
E.
Baroš
Baroš is a Czech surname most prominently associated with Milan Baroš, a former professional footballer and UEFA Euro 2004 Golden Boot winner.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.