Triple
T3010224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jáchymov |
E82197
|
entity |
| Predicate | hasNotableSite |
P2462
|
FINISHED |
| Object |
Jáchymov Spa
Jáchymov Spa is a historic Czech spa resort renowned for its radon-rich thermal waters used in therapeutic treatments.
|
E317594
|
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: Jáchymov Spa | Statement: [Jáchymov, hasNotableSite, Jáchymov Spa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jáchymov Spa Context triple: [Jáchymov, hasNotableSite, Jáchymov Spa]
-
A.
Konstantinovy Lázně
Konstantinovy Lázně is a small spa municipality in the Czech Republic known for its therapeutic mineral springs and tranquil resort atmosphere.
-
B.
Nýřany
Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
-
C.
Klatovy
Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
-
D.
Anna Thermal Bath
Anna Thermal Bath is a historic spa complex in Szeged, Hungary, renowned for its medicinal thermal waters and Art Nouveau architecture.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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: Jáchymov Spa Triple: [Jáchymov, hasNotableSite, Jáchymov Spa]
Generated description
Jáchymov Spa is a historic Czech spa resort renowned for its radon-rich thermal waters used in therapeutic treatments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jáchymov Spa Target entity description: Jáchymov Spa is a historic Czech spa resort renowned for its radon-rich thermal waters used in therapeutic treatments.
-
A.
Konstantinovy Lázně
Konstantinovy Lázně is a small spa municipality in the Czech Republic known for its therapeutic mineral springs and tranquil resort atmosphere.
-
B.
Nýřany
Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
-
C.
Klatovy
Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
-
D.
Anna Thermal Bath
Anna Thermal Bath is a historic spa complex in Szeged, Hungary, renowned for its medicinal thermal waters and Art Nouveau architecture.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6410e481909753bef34e053363 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f324fdc8190a279a773ef32ed01 |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1c641f3308190912252e5d5e4f843 |
completed | March 11, 2026, 7:45 p.m. |
Created at: March 8, 2026, 3 p.m.