Triple
T14756234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenčín Region |
E346735
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Nemšová
Nemšová is a small town in western Slovakia known for its location near the Czech border and the Váh River within the Trenčín administrative area.
|
E1117291
|
NE FINISHED |
How this triple was built (4 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: Nemšová | Statement: [Trenčín Region, containsTown, Nemšová]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemšová Context triple: [Trenčín Region, containsTown, Nemšová]
-
A.
Němcová
Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
-
B.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
C.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
D.
Černová
Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
-
E.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nemšová Triple: [Trenčín Region, containsTown, Nemšová]
Generated description
Nemšová is a small town in western Slovakia known for its location near the Czech border and the Váh River within the Trenčín administrative area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nemšová Target entity description: Nemšová is a small town in western Slovakia known for its location near the Czech border and the Váh River within the Trenčín administrative area.
-
A.
Němcová
Němcová is a Czech surname most famously borne by Božena Němcová, a pioneering 19th-century Czech writer and key figure of the Czech National Revival.
-
B.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
C.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
D.
Černová
Černová is a village in northern Slovakia, historically known as the birthplace of Slovak nationalist priest and politician Andrej Hlinka.
-
E.
Zelníčková
Zelníčková is a Czech surname, notably borne by Ivana Marie Zelníčková, the Czech-American businesswoman and former wife of Donald Trump.
- F. None of above. chosen
Provenance (5 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9e1b8481909abea3daabe91302 |
completed | May 8, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.