Triple
T753826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edvard Beneš |
E15508
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Kožlany
Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
|
E102690
|
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: Kožlany | Statement: [Edvard Beneš, placeOfBirth, Kožlany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kožlany Context triple: [Edvard Beneš, placeOfBirth, Kožlany]
-
A.
Kutyna
Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
E.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
- 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: Kožlany Triple: [Edvard Beneš, placeOfBirth, Kožlany]
Generated description
Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kožlany Target entity description: Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
-
A.
Kutyna
Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
-
B.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
E.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64ecadc8190a82e25444e7abba6 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3aacc788190b79623c86b2a5fe7 |
completed | March 4, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69a7a5f0f5e08190b6eed2d8ca594cea |
completed | March 4, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a64ee7e08190907a9e28994cc4d2 |
completed | March 4, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.