Triple
T2800856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussite movement |
E53149
|
entity |
| Predicate | significantPlace |
P1098
|
FINISHED |
| Object |
Tábor
Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
|
E299973
|
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: Tábor | Statement: [Hussite movement, significantPlace, Tábor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tábor Context triple: [Hussite movement, significantPlace, Tábor]
-
A.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
E.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
- 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: Tábor Triple: [Hussite movement, significantPlace, Tábor]
Generated description
Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tábor Target entity description: Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
-
A.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
B.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
E.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf4ca9c8190a4adfd1c1373af41 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66ad9cc81908af6d3816a840c75 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc80ba2148190ae0c1f6425d52dfd |
completed | March 10, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc97fc45481908aa72ac8607c34ac |
completed | March 10, 2026, 7:34 a.m. |
Created at: March 6, 2026, 9:58 p.m.